diff --git a/docs/en/compare/damo-yolo-vs-efficientdet.md b/docs/en/compare/damo-yolo-vs-efficientdet.md index 47311bc5a6e..ab239d9f4bf 100644 --- a/docs/en/compare/damo-yolo-vs-efficientdet.md +++ b/docs/en/compare/damo-yolo-vs-efficientdet.md @@ -11,7 +11,7 @@ The evolution of computer vision has produced an array of powerful architectures - + ## Architectural Overview diff --git a/docs/en/compare/damo-yolo-vs-pp-yoloe.md b/docs/en/compare/damo-yolo-vs-pp-yoloe.md index 4c211d74057..54828c86344 100644 --- a/docs/en/compare/damo-yolo-vs-pp-yoloe.md +++ b/docs/en/compare/damo-yolo-vs-pp-yoloe.md @@ -11,7 +11,7 @@ In the highly competitive landscape of real-time computer vision, choosing the o - + ## Model Overviews diff --git a/docs/en/compare/damo-yolo-vs-rtdetr.md b/docs/en/compare/damo-yolo-vs-rtdetr.md index d8ffd94d208..ca7a6de201a 100644 --- a/docs/en/compare/damo-yolo-vs-rtdetr.md +++ b/docs/en/compare/damo-yolo-vs-rtdetr.md @@ -11,7 +11,7 @@ The rapidly evolving landscape of computer vision has produced an impressive arr - + This comprehensive guide dives deep into the technical specifications, architectural innovations, and practical use cases of both models, while also exploring how modern solutions like the [Ultralytics Platform](https://platform.ultralytics.com) and the state-of-the-art [YOLO26](https://platform.ultralytics.com/ultralytics/yolo26) have redefined industry standards for deployment and ease of use. diff --git a/docs/en/compare/damo-yolo-vs-yolo11.md b/docs/en/compare/damo-yolo-vs-yolo11.md index 07b19d1b742..d41caecc718 100644 --- a/docs/en/compare/damo-yolo-vs-yolo11.md +++ b/docs/en/compare/damo-yolo-vs-yolo11.md @@ -26,7 +26,7 @@ Docs: [YOLO11 Documentation](https://docs.ultralytics.com/models/yolo11/) - + ## Architectural Design Philosophy diff --git a/docs/en/compare/damo-yolo-vs-yolo26.md b/docs/en/compare/damo-yolo-vs-yolo26.md index a804e4f7d31..692e7156b7d 100644 --- a/docs/en/compare/damo-yolo-vs-yolo26.md +++ b/docs/en/compare/damo-yolo-vs-yolo26.md @@ -13,7 +13,7 @@ Whether you are deploying vision models to edge devices or building high-through - + ## DAMO-YOLO: Neural Architecture Search at Scale diff --git a/docs/en/compare/damo-yolo-vs-yolov10.md b/docs/en/compare/damo-yolo-vs-yolov10.md index 67c44339436..882c8796796 100644 --- a/docs/en/compare/damo-yolo-vs-yolov10.md +++ b/docs/en/compare/damo-yolo-vs-yolov10.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed a rapid evolution in real-time [objec - + ## DAMO-YOLO: Neural Architecture Search at Scale diff --git a/docs/en/compare/damo-yolo-vs-yolov5.md b/docs/en/compare/damo-yolo-vs-yolov5.md index 60e093947f1..e565b602985 100644 --- a/docs/en/compare/damo-yolo-vs-yolov5.md +++ b/docs/en/compare/damo-yolo-vs-yolov5.md @@ -11,7 +11,7 @@ The evolution of [computer vision](https://www.ultralytics.com/glossary/computer - + ## Introduction to DAMO-YOLO diff --git a/docs/en/compare/damo-yolo-vs-yolov6.md b/docs/en/compare/damo-yolo-vs-yolov6.md index 250fec29b92..f86e351a674 100644 --- a/docs/en/compare/damo-yolo-vs-yolov6.md +++ b/docs/en/compare/damo-yolo-vs-yolov6.md @@ -11,7 +11,7 @@ The rapid evolution of computer vision has produced highly specialized architect - + ## DAMO-YOLO: Neural Architecture Search Meets Object Detection diff --git a/docs/en/compare/damo-yolo-vs-yolov7.md b/docs/en/compare/damo-yolo-vs-yolov7.md index 7eeffc73667..4d97eb88867 100644 --- a/docs/en/compare/damo-yolo-vs-yolov7.md +++ b/docs/en/compare/damo-yolo-vs-yolov7.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores the distinct approaches of both - + ## Model Origins and Metadata diff --git a/docs/en/compare/damo-yolo-vs-yolov8.md b/docs/en/compare/damo-yolo-vs-yolov8.md index 25d857c4d4d..8e28b8a8b64 100644 --- a/docs/en/compare/damo-yolo-vs-yolov8.md +++ b/docs/en/compare/damo-yolo-vs-yolov8.md @@ -13,7 +13,7 @@ This comprehensive technical breakdown will compare their underlying architectur - + ## Model Lineage and Specifications diff --git a/docs/en/compare/damo-yolo-vs-yolov9.md b/docs/en/compare/damo-yolo-vs-yolov9.md index a2f260426ab..8b31dd11aba 100644 --- a/docs/en/compare/damo-yolo-vs-yolov9.md +++ b/docs/en/compare/damo-yolo-vs-yolov9.md @@ -13,7 +13,7 @@ This detailed technical guide provides an in-depth analysis of these two models, - + ## Executive Summary: Choosing the Right Architecture diff --git a/docs/en/compare/damo-yolo-vs-yolox.md b/docs/en/compare/damo-yolo-vs-yolox.md index ef66cc1c95a..55e245467d6 100644 --- a/docs/en/compare/damo-yolo-vs-yolox.md +++ b/docs/en/compare/damo-yolo-vs-yolox.md @@ -11,7 +11,7 @@ The landscape of real-time computer vision is constantly evolving. Two notable m - + This comprehensive guide explores the technical nuances of both models and highlights why modern alternatives like the [Ultralytics YOLO26](https://platform.ultralytics.com/ultralytics/yolo26) platform offer superior performance and ease of use for today's production environments. diff --git a/docs/en/compare/efficientdet-vs-damo-yolo.md b/docs/en/compare/efficientdet-vs-damo-yolo.md index 94febbde4d2..638f2f8d533 100644 --- a/docs/en/compare/efficientdet-vs-damo-yolo.md +++ b/docs/en/compare/efficientdet-vs-damo-yolo.md @@ -13,7 +13,7 @@ While both models brought significant innovations to the field of [object detect - + ## EfficientDet: Scalable and Efficient Object Detection diff --git a/docs/en/compare/efficientdet-vs-pp-yoloe.md b/docs/en/compare/efficientdet-vs-pp-yoloe.md index 517db8544f5..07fa9fd7315 100644 --- a/docs/en/compare/efficientdet-vs-pp-yoloe.md +++ b/docs/en/compare/efficientdet-vs-pp-yoloe.md @@ -13,7 +13,7 @@ This comprehensive guide dissects their architectures, training methodologies, a - + ## Architectural Innovations and Design Philosophies diff --git a/docs/en/compare/efficientdet-vs-rtdetr.md b/docs/en/compare/efficientdet-vs-rtdetr.md index ad59fe5f777..da060b9ceb7 100644 --- a/docs/en/compare/efficientdet-vs-rtdetr.md +++ b/docs/en/compare/efficientdet-vs-rtdetr.md @@ -13,7 +13,7 @@ By understanding the trade-offs between legacy efficiency and modern transformer - + ## Understanding EfficientDet diff --git a/docs/en/compare/efficientdet-vs-yolo11.md b/docs/en/compare/efficientdet-vs-yolo11.md index c0ef673cc5b..05d4244d8fa 100644 --- a/docs/en/compare/efficientdet-vs-yolo11.md +++ b/docs/en/compare/efficientdet-vs-yolo11.md @@ -13,7 +13,7 @@ Whether you are targeting millisecond latency on [edge AI](https://www.ultralyti - + ## Model Profiles and Technical Details diff --git a/docs/en/compare/efficientdet-vs-yolo26.md b/docs/en/compare/efficientdet-vs-yolo26.md index ae24ae59655..12ba2aa6088 100644 --- a/docs/en/compare/efficientdet-vs-yolo26.md +++ b/docs/en/compare/efficientdet-vs-yolo26.md @@ -32,7 +32,7 @@ GitHub: [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) - + ## Architectural Innovations diff --git a/docs/en/compare/efficientdet-vs-yolov10.md b/docs/en/compare/efficientdet-vs-yolov10.md index 649079c3c5e..607c9291add 100644 --- a/docs/en/compare/efficientdet-vs-yolov10.md +++ b/docs/en/compare/efficientdet-vs-yolov10.md @@ -13,7 +13,7 @@ We will explore their core architectures, review performance benchmarks on [stan - + ## EfficientDet: The Compound Scaling Pioneer diff --git a/docs/en/compare/efficientdet-vs-yolov5.md b/docs/en/compare/efficientdet-vs-yolov5.md index 311077a9aad..0477e1f5c2c 100644 --- a/docs/en/compare/efficientdet-vs-yolov5.md +++ b/docs/en/compare/efficientdet-vs-yolov5.md @@ -13,7 +13,7 @@ By comparing their architectural innovations, training methodologies, and deploy - + ## EfficientDet: Scalable Architecture with BiFPN diff --git a/docs/en/compare/efficientdet-vs-yolov6.md b/docs/en/compare/efficientdet-vs-yolov6.md index d61ad733e8f..9afbcfaebb5 100644 --- a/docs/en/compare/efficientdet-vs-yolov6.md +++ b/docs/en/compare/efficientdet-vs-yolov6.md @@ -13,7 +13,7 @@ While both architectures represented major leaps forward upon their respective r - + ## EfficientDet: Scalable AutoML Architecture diff --git a/docs/en/compare/efficientdet-vs-yolov7.md b/docs/en/compare/efficientdet-vs-yolov7.md index 6a3958fd86a..67f5f5e615f 100644 --- a/docs/en/compare/efficientdet-vs-yolov7.md +++ b/docs/en/compare/efficientdet-vs-yolov7.md @@ -13,7 +13,7 @@ This comprehensive technical analysis explores the architectural nuances, [perfo - + ## Understanding EfficientDet diff --git a/docs/en/compare/efficientdet-vs-yolov8.md b/docs/en/compare/efficientdet-vs-yolov8.md index 5c45ce738b9..eee60fdf591 100644 --- a/docs/en/compare/efficientdet-vs-yolov8.md +++ b/docs/en/compare/efficientdet-vs-yolov8.md @@ -13,7 +13,7 @@ Whether your goal is deploying models on highly constrained [edge computing](htt - + ## Model Overview and Origins diff --git a/docs/en/compare/efficientdet-vs-yolov9.md b/docs/en/compare/efficientdet-vs-yolov9.md index fc064e1c2e7..b3d9f9e2569 100644 --- a/docs/en/compare/efficientdet-vs-yolov9.md +++ b/docs/en/compare/efficientdet-vs-yolov9.md @@ -13,7 +13,7 @@ This guide provides a comprehensive technical comparison between these two model - + ## Model Architectures and Innovations diff --git a/docs/en/compare/efficientdet-vs-yolox.md b/docs/en/compare/efficientdet-vs-yolox.md index 8b1345e8e7e..364da7acfa4 100644 --- a/docs/en/compare/efficientdet-vs-yolox.md +++ b/docs/en/compare/efficientdet-vs-yolox.md @@ -11,7 +11,7 @@ When architecting a modern [computer vision](https://www.ultralytics.com/glossar - + ## EfficientDet Overview diff --git a/docs/en/compare/pp-yoloe-vs-damo-yolo.md b/docs/en/compare/pp-yoloe-vs-damo-yolo.md index 829c24fde89..775f374daac 100644 --- a/docs/en/compare/pp-yoloe-vs-damo-yolo.md +++ b/docs/en/compare/pp-yoloe-vs-damo-yolo.md @@ -13,7 +13,7 @@ This guide provides a detailed technical analysis of PP-YOLOE+ and DAMO-YOLO, ex - + ## PP-YOLOE+: Refined Industrial Object Detection diff --git a/docs/en/compare/pp-yoloe-vs-efficientdet.md b/docs/en/compare/pp-yoloe-vs-efficientdet.md index b0ddf53a16a..e2ba0a4e58b 100644 --- a/docs/en/compare/pp-yoloe-vs-efficientdet.md +++ b/docs/en/compare/pp-yoloe-vs-efficientdet.md @@ -13,7 +13,7 @@ While both models have made significant contributions to the field, we will also - + ## Architectural Overview: PP-YOLOE+ diff --git a/docs/en/compare/pp-yoloe-vs-rtdetr.md b/docs/en/compare/pp-yoloe-vs-rtdetr.md index 799cf3ce206..0a177481da9 100644 --- a/docs/en/compare/pp-yoloe-vs-rtdetr.md +++ b/docs/en/compare/pp-yoloe-vs-rtdetr.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed a dramatic evolution in recent years, - + ## PP-YOLOE+: Advancing the CNN Paradigm diff --git a/docs/en/compare/pp-yoloe-vs-yolo11.md b/docs/en/compare/pp-yoloe-vs-yolo11.md index 299975f4a6e..0b7f292fd9a 100644 --- a/docs/en/compare/pp-yoloe-vs-yolo11.md +++ b/docs/en/compare/pp-yoloe-vs-yolo11.md @@ -13,7 +13,7 @@ By dissecting their architectures, performance metrics, and ideal use cases, thi - + ## Model Origins and Technical Overviews diff --git a/docs/en/compare/pp-yoloe-vs-yolo26.md b/docs/en/compare/pp-yoloe-vs-yolo26.md index 6f5e7cae611..788376e9cb4 100644 --- a/docs/en/compare/pp-yoloe-vs-yolo26.md +++ b/docs/en/compare/pp-yoloe-vs-yolo26.md @@ -13,7 +13,7 @@ This comprehensive guide compares these two models, highlighting their architect - + ## Technical Specifications and Authorship diff --git a/docs/en/compare/pp-yoloe-vs-yolov10.md b/docs/en/compare/pp-yoloe-vs-yolov10.md index ed5c305e30c..d8bcb4ec662 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov10.md +++ b/docs/en/compare/pp-yoloe-vs-yolov10.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, with new models pushing - + ## Introduction to the Models diff --git a/docs/en/compare/pp-yoloe-vs-yolov5.md b/docs/en/compare/pp-yoloe-vs-yolov5.md index 628da82ee67..564df5f2843 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov5.md +++ b/docs/en/compare/pp-yoloe-vs-yolov5.md @@ -11,7 +11,7 @@ When choosing the right deep learning framework for computer vision, developers - + ## Model Origins and Metadata diff --git a/docs/en/compare/pp-yoloe-vs-yolov6.md b/docs/en/compare/pp-yoloe-vs-yolov6.md index 2d5697c7997..12c1859039c 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov6.md +++ b/docs/en/compare/pp-yoloe-vs-yolov6.md @@ -13,7 +13,7 @@ Before diving into the detailed architectural breakdowns, explore the chart belo - + ## PP-YOLOE+: Architectural Strengths and Weaknesses diff --git a/docs/en/compare/pp-yoloe-vs-yolov7.md b/docs/en/compare/pp-yoloe-vs-yolov7.md index 3d4c00df9a9..803a124a7a1 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov7.md +++ b/docs/en/compare/pp-yoloe-vs-yolov7.md @@ -11,7 +11,7 @@ When building computer vision pipelines, selecting the right object detection mo - + ## Overview of the Models diff --git a/docs/en/compare/pp-yoloe-vs-yolov8.md b/docs/en/compare/pp-yoloe-vs-yolov8.md index 8f4ce8abc42..e42fe4491f6 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov8.md +++ b/docs/en/compare/pp-yoloe-vs-yolov8.md @@ -11,7 +11,7 @@ The demand for high-performance, real-time [computer vision](https://en.wikipedi - + ## Introduction to the Architectures diff --git a/docs/en/compare/pp-yoloe-vs-yolov9.md b/docs/en/compare/pp-yoloe-vs-yolov9.md index 8b6dfba08ef..c8cc2ee876f 100644 --- a/docs/en/compare/pp-yoloe-vs-yolov9.md +++ b/docs/en/compare/pp-yoloe-vs-yolov9.md @@ -13,7 +13,7 @@ This comprehensive technical comparison analyzes their architectural innovations - + ## Model Lineage and Technical Foundations diff --git a/docs/en/compare/pp-yoloe-vs-yolox.md b/docs/en/compare/pp-yoloe-vs-yolox.md index 42c2d33c743..ecc433655bf 100644 --- a/docs/en/compare/pp-yoloe-vs-yolox.md +++ b/docs/en/compare/pp-yoloe-vs-yolox.md @@ -11,7 +11,7 @@ The landscape of [computer vision](https://www.ultralytics.com/glossary/computer - + ## Model Lineage and Details diff --git a/docs/en/compare/rtdetr-vs-damo-yolo.md b/docs/en/compare/rtdetr-vs-damo-yolo.md index b4c57ba8e15..919faf875c6 100644 --- a/docs/en/compare/rtdetr-vs-damo-yolo.md +++ b/docs/en/compare/rtdetr-vs-damo-yolo.md @@ -13,7 +13,7 @@ In this technical comparison, we will dive deep into their architectures, traini - + ## Architectural Innovations diff --git a/docs/en/compare/rtdetr-vs-efficientdet.md b/docs/en/compare/rtdetr-vs-efficientdet.md index 681a4840abd..96ce0665b6c 100644 --- a/docs/en/compare/rtdetr-vs-efficientdet.md +++ b/docs/en/compare/rtdetr-vs-efficientdet.md @@ -11,7 +11,7 @@ Selecting the optimal neural network architecture is a defining choice for any [ - + ## RTDETRv2: The Real-Time Detection Transformer diff --git a/docs/en/compare/rtdetr-vs-pp-yoloe.md b/docs/en/compare/rtdetr-vs-pp-yoloe.md index 3ce10e31a93..c6411cfece4 100644 --- a/docs/en/compare/rtdetr-vs-pp-yoloe.md +++ b/docs/en/compare/rtdetr-vs-pp-yoloe.md @@ -13,7 +13,7 @@ This comprehensive guide delves into the technical nuances of both models, compa - + ## Model Overviews diff --git a/docs/en/compare/rtdetr-vs-yolo11.md b/docs/en/compare/rtdetr-vs-yolo11.md index f6bf4fd6c05..ce8a6119391 100644 --- a/docs/en/compare/rtdetr-vs-yolo11.md +++ b/docs/en/compare/rtdetr-vs-yolo11.md @@ -13,7 +13,7 @@ In this comprehensive technical comparison, we will explore the architectures, p - + ## RTDETRv2: The Transformer-Based Challenger diff --git a/docs/en/compare/rtdetr-vs-yolo26.md b/docs/en/compare/rtdetr-vs-yolo26.md index b73ffbb4b4b..3d15bf1cae4 100644 --- a/docs/en/compare/rtdetr-vs-yolo26.md +++ b/docs/en/compare/rtdetr-vs-yolo26.md @@ -11,7 +11,7 @@ The landscape of real-time object detection has evolved dramatically, with resea - + ## RTDETRv2: Real-Time Detection Transformers diff --git a/docs/en/compare/rtdetr-vs-yolov10.md b/docs/en/compare/rtdetr-vs-yolov10.md index c950b4396dc..d701b34065e 100644 --- a/docs/en/compare/rtdetr-vs-yolov10.md +++ b/docs/en/compare/rtdetr-vs-yolov10.md @@ -13,7 +13,7 @@ This guide provides a comprehensive technical comparison of these two models, an - + ## RTDETRv2: Real-Time Detection Transformers diff --git a/docs/en/compare/rtdetr-vs-yolov5.md b/docs/en/compare/rtdetr-vs-yolov5.md index 93be9637205..7680146f92e 100644 --- a/docs/en/compare/rtdetr-vs-yolov5.md +++ b/docs/en/compare/rtdetr-vs-yolov5.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical analysis of these two prominent archit - + ## RTDETRv2: The Transformer Approach to Real-Time Detection diff --git a/docs/en/compare/rtdetr-vs-yolov6.md b/docs/en/compare/rtdetr-vs-yolov6.md index 8b260e67aea..4be1d7bd119 100644 --- a/docs/en/compare/rtdetr-vs-yolov6.md +++ b/docs/en/compare/rtdetr-vs-yolov6.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores their respective architectures, - + ## RTDETRv2: The Vision Transformer Approach diff --git a/docs/en/compare/rtdetr-vs-yolov7.md b/docs/en/compare/rtdetr-vs-yolov7.md index 4a0ce672330..6fdb4197249 100644 --- a/docs/en/compare/rtdetr-vs-yolov7.md +++ b/docs/en/compare/rtdetr-vs-yolov7.md @@ -11,7 +11,7 @@ The landscape of [computer vision](https://www.ultralytics.com/glossary/computer - + ## RTDETRv2: The Transformer Approach to Real-Time Detection diff --git a/docs/en/compare/rtdetr-vs-yolov8.md b/docs/en/compare/rtdetr-vs-yolov8.md index 42c1df49073..97df9c17212 100644 --- a/docs/en/compare/rtdetr-vs-yolov8.md +++ b/docs/en/compare/rtdetr-vs-yolov8.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly shifting, often highlighted by th - + --- diff --git a/docs/en/compare/rtdetr-vs-yolov9.md b/docs/en/compare/rtdetr-vs-yolov9.md index 8128fef5673..427f8505306 100644 --- a/docs/en/compare/rtdetr-vs-yolov9.md +++ b/docs/en/compare/rtdetr-vs-yolov9.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed a fascinating divergence in architect - + ## Introduction to the Models diff --git a/docs/en/compare/rtdetr-vs-yolox.md b/docs/en/compare/rtdetr-vs-yolox.md index febdbdd64b4..1424165d805 100644 --- a/docs/en/compare/rtdetr-vs-yolox.md +++ b/docs/en/compare/rtdetr-vs-yolox.md @@ -13,7 +13,7 @@ This comprehensive guide explores the architectural nuances, performance metrics - + ## RTDETRv2: Real-Time Detection Transformers diff --git a/docs/en/compare/yolo11-vs-damo-yolo.md b/docs/en/compare/yolo11-vs-damo-yolo.md index 19137cc86b2..8dc4d9c77c6 100644 --- a/docs/en/compare/yolo11-vs-damo-yolo.md +++ b/docs/en/compare/yolo11-vs-damo-yolo.md @@ -11,7 +11,7 @@ Choosing the optimal architecture is a critical step in any [computer vision](ht - + ## Model Overviews diff --git a/docs/en/compare/yolo11-vs-efficientdet.md b/docs/en/compare/yolo11-vs-efficientdet.md index c9965985c1f..ee8a7efdf2f 100644 --- a/docs/en/compare/yolo11-vs-efficientdet.md +++ b/docs/en/compare/yolo11-vs-efficientdet.md @@ -11,7 +11,7 @@ Selecting the optimal neural network for [computer vision](https://en.wikipedia. - + ## Model Backgrounds and Specifications diff --git a/docs/en/compare/yolo11-vs-pp-yoloe.md b/docs/en/compare/yolo11-vs-pp-yoloe.md index 332dd0f015c..535ca0493df 100644 --- a/docs/en/compare/yolo11-vs-pp-yoloe.md +++ b/docs/en/compare/yolo11-vs-pp-yoloe.md @@ -13,7 +13,7 @@ Below is an interactive chart showcasing the performance boundaries of these mod - + ## Model Origins and Technical Lineage diff --git a/docs/en/compare/yolo11-vs-rtdetr.md b/docs/en/compare/yolo11-vs-rtdetr.md index 948f080ea18..5690181ba4c 100644 --- a/docs/en/compare/yolo11-vs-rtdetr.md +++ b/docs/en/compare/yolo11-vs-rtdetr.md @@ -11,7 +11,7 @@ The landscape of computer vision has expanded rapidly, offering developers a myr - + By analyzing their architectures, performance metrics, and ideal deployment scenarios, this guide aims to help machine learning engineers make informed decisions. While both models push the boundaries of accuracy, [Ultralytics YOLO](https://www.ultralytics.com/yolo) models typically offer a superior balance of speed, ecosystem support, and ease of use for real-world production. diff --git a/docs/en/compare/yolo11-vs-yolo26.md b/docs/en/compare/yolo11-vs-yolo26.md index d189a77ae47..a68342c28e9 100644 --- a/docs/en/compare/yolo11-vs-yolo26.md +++ b/docs/en/compare/yolo11-vs-yolo26.md @@ -13,7 +13,7 @@ Whether you are building [drone delivery systems](https://www.amazon.com/b?ie=UT - + ## Model Lineage and Ecosystem diff --git a/docs/en/compare/yolo11-vs-yolov10.md b/docs/en/compare/yolo11-vs-yolov10.md index 0c18889b2d3..d92e6f77479 100644 --- a/docs/en/compare/yolo11-vs-yolov10.md +++ b/docs/en/compare/yolo11-vs-yolov10.md @@ -11,7 +11,7 @@ The landscape of real-time computer vision is constantly evolving, with new arch - + ## Unpacking the YOLO11 Architecture diff --git a/docs/en/compare/yolo11-vs-yolov5.md b/docs/en/compare/yolo11-vs-yolov5.md index c95b054afb7..e8cbc0b36cc 100644 --- a/docs/en/compare/yolo11-vs-yolov5.md +++ b/docs/en/compare/yolo11-vs-yolov5.md @@ -13,7 +13,7 @@ Whether you are deploying lightweight models for [edge AI](https://www.ultralyti - + ## Model Lineage and Technical Details diff --git a/docs/en/compare/yolo11-vs-yolov6.md b/docs/en/compare/yolo11-vs-yolov6.md index 5a3d451da90..db7986a2e63 100644 --- a/docs/en/compare/yolo11-vs-yolov6.md +++ b/docs/en/compare/yolo11-vs-yolov6.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical analysis comparing their architectures - + ## Model Overviews diff --git a/docs/en/compare/yolo11-vs-yolov7.md b/docs/en/compare/yolo11-vs-yolov7.md index 02ded19bce8..01cf50141ae 100644 --- a/docs/en/compare/yolo11-vs-yolov7.md +++ b/docs/en/compare/yolo11-vs-yolov7.md @@ -11,7 +11,7 @@ The landscape of [computer vision](https://www.ultralytics.com/glossary/computer - + ## Model Background and Technical Details diff --git a/docs/en/compare/yolo11-vs-yolov8.md b/docs/en/compare/yolo11-vs-yolov8.md index 8f563cc584e..1b0e4328c97 100644 --- a/docs/en/compare/yolo11-vs-yolov8.md +++ b/docs/en/compare/yolo11-vs-yolov8.md @@ -13,7 +13,7 @@ This guide provides an in-depth analysis of their architectures, training method - + ## Architectural Innovations diff --git a/docs/en/compare/yolo11-vs-yolov9.md b/docs/en/compare/yolo11-vs-yolov9.md index d9808a35db5..fd9bc104710 100644 --- a/docs/en/compare/yolo11-vs-yolov9.md +++ b/docs/en/compare/yolo11-vs-yolov9.md @@ -13,7 +13,7 @@ This guide provides a comprehensive technical comparison between YOLO11 and YOLO - + ## Model Overview diff --git a/docs/en/compare/yolo11-vs-yolox.md b/docs/en/compare/yolo11-vs-yolox.md index 58b2b75b14f..d8cfdcb2c06 100644 --- a/docs/en/compare/yolo11-vs-yolox.md +++ b/docs/en/compare/yolo11-vs-yolox.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed rapid advancements over the last few - + ## Architectural Overview diff --git a/docs/en/compare/yolo26-vs-damo-yolo.md b/docs/en/compare/yolo26-vs-damo-yolo.md index 02f8e807941..bf6637d8bf9 100644 --- a/docs/en/compare/yolo26-vs-damo-yolo.md +++ b/docs/en/compare/yolo26-vs-damo-yolo.md @@ -11,7 +11,7 @@ When selecting a state-of-the-art computer vision model, finding the optimal bal - + ## Architectural Innovations and Design diff --git a/docs/en/compare/yolo26-vs-efficientdet.md b/docs/en/compare/yolo26-vs-efficientdet.md index 630e87f8d59..c56effae0fe 100644 --- a/docs/en/compare/yolo26-vs-efficientdet.md +++ b/docs/en/compare/yolo26-vs-efficientdet.md @@ -13,7 +13,7 @@ Whether your deployment targets high-throughput cloud servers or latency-constra - + ## Architectural Overview: YOLO26 diff --git a/docs/en/compare/yolo26-vs-pp-yoloe.md b/docs/en/compare/yolo26-vs-pp-yoloe.md index 87007c5ff66..2c1a387fb6f 100644 --- a/docs/en/compare/yolo26-vs-pp-yoloe.md +++ b/docs/en/compare/yolo26-vs-pp-yoloe.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed a rapid evolution in real-time object - + ## Model Origins and Metadata diff --git a/docs/en/compare/yolo26-vs-rtdetr.md b/docs/en/compare/yolo26-vs-rtdetr.md index 36ebb72cd72..21c766c1e94 100644 --- a/docs/en/compare/yolo26-vs-rtdetr.md +++ b/docs/en/compare/yolo26-vs-rtdetr.md @@ -13,7 +13,7 @@ This guide provides a deep technical dive into both models, comparing their stru - + ## Ultralytics YOLO26: The Pinnacle of Edge-First Vision AI diff --git a/docs/en/compare/yolo26-vs-yolo11.md b/docs/en/compare/yolo26-vs-yolo11.md index fce4c3423a3..2bf2ea0439e 100644 --- a/docs/en/compare/yolo26-vs-yolo11.md +++ b/docs/en/compare/yolo26-vs-yolo11.md @@ -11,7 +11,7 @@ When building state-of-the-art computer vision systems, selecting the right mode - + ## Model Lineage and Metadata diff --git a/docs/en/compare/yolo26-vs-yolov10.md b/docs/en/compare/yolo26-vs-yolov10.md index 1572c941335..33eaad3472c 100644 --- a/docs/en/compare/yolo26-vs-yolov10.md +++ b/docs/en/compare/yolo26-vs-yolov10.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, driven by the demand fo - + ## The Evolution of NMS-Free Architectures diff --git a/docs/en/compare/yolo26-vs-yolov5.md b/docs/en/compare/yolo26-vs-yolov5.md index e3409e2a629..affdc268431 100644 --- a/docs/en/compare/yolo26-vs-yolov5.md +++ b/docs/en/compare/yolo26-vs-yolov5.md @@ -11,7 +11,7 @@ The evolution of computer vision has been defined by the relentless pursuit of s - + ## Model Overview diff --git a/docs/en/compare/yolo26-vs-yolov6.md b/docs/en/compare/yolo26-vs-yolov6.md index 170392d0746..68bb319f115 100644 --- a/docs/en/compare/yolo26-vs-yolov6.md +++ b/docs/en/compare/yolo26-vs-yolov6.md @@ -11,7 +11,7 @@ The evolution of computer vision continues to accelerate, offering developers po - + ## Model Origins and Details diff --git a/docs/en/compare/yolo26-vs-yolov7.md b/docs/en/compare/yolo26-vs-yolov7.md index 4e6daaca8d4..d588663213c 100644 --- a/docs/en/compare/yolo26-vs-yolov7.md +++ b/docs/en/compare/yolo26-vs-yolov7.md @@ -11,7 +11,7 @@ The evolution of real-time object detection has seen numerous milestones, with [ - + This deep dive compares these two architectures, analyzing their performance metrics, structural differences, and ideal deployment scenarios to help [machine learning engineers](https://www.ultralytics.com/blog/becoming-a-computer-vision-engineer) make informed decisions for their next vision AI project. diff --git a/docs/en/compare/yolo26-vs-yolov8.md b/docs/en/compare/yolo26-vs-yolov8.md index a45c4ac0e1c..39726af1c3a 100644 --- a/docs/en/compare/yolo26-vs-yolov8.md +++ b/docs/en/compare/yolo26-vs-yolov8.md @@ -13,7 +13,7 @@ By delving into their architectures, performance metrics, and training methodolo - + ## Model Background and Metadata diff --git a/docs/en/compare/yolo26-vs-yolov9.md b/docs/en/compare/yolo26-vs-yolov9.md index 1c4365dc462..6f11a4ebd8c 100644 --- a/docs/en/compare/yolo26-vs-yolov9.md +++ b/docs/en/compare/yolo26-vs-yolov9.md @@ -11,7 +11,7 @@ The landscape of computer vision advances rapidly, with new architectures contin - + ## YOLO26: The Edge-Optimized Powerhouse diff --git a/docs/en/compare/yolo26-vs-yolox.md b/docs/en/compare/yolo26-vs-yolox.md index 8becd9786ff..9a04903668d 100644 --- a/docs/en/compare/yolo26-vs-yolox.md +++ b/docs/en/compare/yolo26-vs-yolox.md @@ -11,7 +11,7 @@ The evolution of computer vision has been marked by significant architectural le - + ## Model Overviews diff --git a/docs/en/compare/yolov10-vs-damo-yolo.md b/docs/en/compare/yolov10-vs-damo-yolo.md index a4814b0559a..397cc9511a9 100644 --- a/docs/en/compare/yolov10-vs-damo-yolo.md +++ b/docs/en/compare/yolov10-vs-damo-yolo.md @@ -11,7 +11,7 @@ When building modern [computer vision](https://www.ultralytics.com/glossary/comp - + Whether your project requires deployment on constrained [edge AI](https://www.ultralytics.com/glossary/edge-ai) hardware or demands maximum accuracy on cloud GPUs, understanding the nuances of these architectures will help you make an informed decision. diff --git a/docs/en/compare/yolov10-vs-efficientdet.md b/docs/en/compare/yolov10-vs-efficientdet.md index fd36f7d5d95..2f1a63779d3 100644 --- a/docs/en/compare/yolov10-vs-efficientdet.md +++ b/docs/en/compare/yolov10-vs-efficientdet.md @@ -13,7 +13,7 @@ This comprehensive guide dives into their unique designs, training methodologies - + ## YOLOv10: The NMS-Free Pioneer diff --git a/docs/en/compare/yolov10-vs-pp-yoloe.md b/docs/en/compare/yolov10-vs-pp-yoloe.md index 2ddfc0ab61c..c29818f172e 100644 --- a/docs/en/compare/yolov10-vs-pp-yoloe.md +++ b/docs/en/compare/yolov10-vs-pp-yoloe.md @@ -13,7 +13,7 @@ This technical guide provides an in-depth analysis of these two architectures, e - + ## YOLOv10: The Pioneer of NMS-Free Detection diff --git a/docs/en/compare/yolov10-vs-rtdetr.md b/docs/en/compare/yolov10-vs-rtdetr.md index a0872dc19d2..64a37dd1bb5 100644 --- a/docs/en/compare/yolov10-vs-rtdetr.md +++ b/docs/en/compare/yolov10-vs-rtdetr.md @@ -11,7 +11,7 @@ The landscape of [computer vision](https://www.ultralytics.com/glossary/computer - + This technical comparison provides an in-depth analysis of their architectures, training methodologies, and ideal deployment scenarios to help developers and researchers choose the right tool for their next [vision AI](https://www.ultralytics.com/blog-category/vision-ai) project. diff --git a/docs/en/compare/yolov10-vs-yolo11.md b/docs/en/compare/yolov10-vs-yolo11.md index 196e2732966..92905d33e74 100644 --- a/docs/en/compare/yolov10-vs-yolo11.md +++ b/docs/en/compare/yolov10-vs-yolo11.md @@ -46,7 +46,7 @@ When comparing these models side-by-side, it is essential to look at how they pe - + The table below highlights the performance differences. YOLO11 frequently edges out YOLOv10 in mAP across most size categories while maintaining highly competitive [TensorRT](https://docs.ultralytics.com/integrations/tensorrt/) inference speeds. diff --git a/docs/en/compare/yolov10-vs-yolo26.md b/docs/en/compare/yolov10-vs-yolo26.md index ba8afecd85e..97a910cf7c1 100644 --- a/docs/en/compare/yolov10-vs-yolo26.md +++ b/docs/en/compare/yolov10-vs-yolo26.md @@ -11,7 +11,7 @@ The landscape of computer vision has witnessed remarkable advancements in recent - + ## YOLOv10: Pioneering End-to-End Object Detection diff --git a/docs/en/compare/yolov10-vs-yolov5.md b/docs/en/compare/yolov10-vs-yolov5.md index 040416ad9a1..48d4413019f 100644 --- a/docs/en/compare/yolov10-vs-yolov5.md +++ b/docs/en/compare/yolov10-vs-yolov5.md @@ -13,7 +13,7 @@ This guide evaluates these architectures based on [mean Average Precision (mAP)] - + ## Model Overviews diff --git a/docs/en/compare/yolov10-vs-yolov6.md b/docs/en/compare/yolov10-vs-yolov6.md index 98aae682493..9872f1fd1a1 100644 --- a/docs/en/compare/yolov10-vs-yolov6.md +++ b/docs/en/compare/yolov10-vs-yolov6.md @@ -11,7 +11,7 @@ In the rapidly evolving landscape of [computer vision](https://www.ultralytics.c - + ## YOLOv10 Overview: The End-to-End Pioneer diff --git a/docs/en/compare/yolov10-vs-yolov7.md b/docs/en/compare/yolov10-vs-yolov7.md index 54b42d00444..9031134c96d 100644 --- a/docs/en/compare/yolov10-vs-yolov7.md +++ b/docs/en/compare/yolov10-vs-yolov7.md @@ -11,7 +11,7 @@ The rapid progression of computer vision over the last few years has yielded inc - + Both models pushed the boundaries of [object detection](https://docs.ultralytics.com/tasks/detect/) upon their respective releases, yet the modern [Ultralytics ecosystem](https://platform.ultralytics.com) and the introduction of next-generation models like YOLO26 offer far superior workflows for today's AI practitioners. diff --git a/docs/en/compare/yolov10-vs-yolov8.md b/docs/en/compare/yolov10-vs-yolov8.md index 70bbc497dbb..a5a8708ba04 100644 --- a/docs/en/compare/yolov10-vs-yolov8.md +++ b/docs/en/compare/yolov10-vs-yolov8.md @@ -13,7 +13,7 @@ Understanding the distinct advantages, architectures, and performance metrics of - + ## Technical Specifications and Authorship diff --git a/docs/en/compare/yolov10-vs-yolov9.md b/docs/en/compare/yolov10-vs-yolov9.md index d3b461202a1..d604b8bc47d 100644 --- a/docs/en/compare/yolov10-vs-yolov9.md +++ b/docs/en/compare/yolov10-vs-yolov9.md @@ -13,7 +13,7 @@ This comprehensive guide analyzes their architectural innovations, [performance - + ## YOLOv10: The NMS-Free End-to-End Pioneer diff --git a/docs/en/compare/yolov10-vs-yolox.md b/docs/en/compare/yolov10-vs-yolox.md index edddd03f4e9..a184fcd5981 100644 --- a/docs/en/compare/yolov10-vs-yolox.md +++ b/docs/en/compare/yolov10-vs-yolox.md @@ -11,7 +11,7 @@ The field of computer vision is driven by rapid advancements in real-time object - + ## Model Backgrounds and Origins diff --git a/docs/en/compare/yolov5-vs-damo-yolo.md b/docs/en/compare/yolov5-vs-damo-yolo.md index aa24b00b83a..80576ab9db2 100644 --- a/docs/en/compare/yolov5-vs-damo-yolo.md +++ b/docs/en/compare/yolov5-vs-damo-yolo.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical analysis of their architectures, perfo - + ## Model Backgrounds diff --git a/docs/en/compare/yolov5-vs-efficientdet.md b/docs/en/compare/yolov5-vs-efficientdet.md index 0876ff974d6..8cee8f60a8d 100644 --- a/docs/en/compare/yolov5-vs-efficientdet.md +++ b/docs/en/compare/yolov5-vs-efficientdet.md @@ -13,7 +13,7 @@ While EfficientDet introduced novel concepts in compound scaling and feature fus - + ## Ultralytics YOLOv5: The Industry Standard for Accessibility diff --git a/docs/en/compare/yolov5-vs-pp-yoloe.md b/docs/en/compare/yolov5-vs-pp-yoloe.md index f57ac0c9554..699202adc9c 100644 --- a/docs/en/compare/yolov5-vs-pp-yoloe.md +++ b/docs/en/compare/yolov5-vs-pp-yoloe.md @@ -11,7 +11,7 @@ Choosing the right neural network architecture is essential for any modern compu - + ## Understanding the Architectures diff --git a/docs/en/compare/yolov5-vs-rtdetr.md b/docs/en/compare/yolov5-vs-rtdetr.md index 9679c735b45..74c66c67462 100644 --- a/docs/en/compare/yolov5-vs-rtdetr.md +++ b/docs/en/compare/yolov5-vs-rtdetr.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical comparison between two pivotal models - + ## Ultralytics YOLOv5: The Industry Standard for Efficiency diff --git a/docs/en/compare/yolov5-vs-yolo11.md b/docs/en/compare/yolov5-vs-yolo11.md index 8807ff792b7..bf4c2eca526 100644 --- a/docs/en/compare/yolov5-vs-yolo11.md +++ b/docs/en/compare/yolov5-vs-yolo11.md @@ -11,7 +11,7 @@ When choosing the right computer vision architecture for a new project, understa - + ## Introduction to the Models diff --git a/docs/en/compare/yolov5-vs-yolo26.md b/docs/en/compare/yolov5-vs-yolo26.md index 37538fbd28b..38a248d16ed 100644 --- a/docs/en/compare/yolov5-vs-yolo26.md +++ b/docs/en/compare/yolov5-vs-yolo26.md @@ -13,7 +13,7 @@ This guide provides a comprehensive technical breakdown of both architectures, h - + ## Model Overviews diff --git a/docs/en/compare/yolov5-vs-yolov10.md b/docs/en/compare/yolov5-vs-yolov10.md index 54be17e4e26..81e484f9f7e 100644 --- a/docs/en/compare/yolov5-vs-yolov10.md +++ b/docs/en/compare/yolov5-vs-yolov10.md @@ -11,7 +11,7 @@ The field of real-time computer vision has seen exponential growth over the past - + ## Architectural Deep Dive diff --git a/docs/en/compare/yolov5-vs-yolov6.md b/docs/en/compare/yolov5-vs-yolov6.md index d560dd1dff1..4ebf70262ee 100644 --- a/docs/en/compare/yolov5-vs-yolov6.md +++ b/docs/en/compare/yolov5-vs-yolov6.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, with new architectures - + ## Introduction to the Models diff --git a/docs/en/compare/yolov5-vs-yolov7.md b/docs/en/compare/yolov5-vs-yolov7.md index b6e1fc7a4c2..97097cffdde 100644 --- a/docs/en/compare/yolov5-vs-yolov7.md +++ b/docs/en/compare/yolov5-vs-yolov7.md @@ -11,7 +11,7 @@ The landscape of computer vision has evolved rapidly over the last few years, dr - + ## At a Glance: Model Origins diff --git a/docs/en/compare/yolov5-vs-yolov8.md b/docs/en/compare/yolov5-vs-yolov8.md index e5cdaa392cc..5bc1daf4e24 100644 --- a/docs/en/compare/yolov5-vs-yolov8.md +++ b/docs/en/compare/yolov5-vs-yolov8.md @@ -11,7 +11,7 @@ When building scalable and efficient [computer vision](https://en.wikipedia.org/ - + Both of these models represent significant milestones in the history of real-time [object detection](https://docs.ultralytics.com/tasks/detect/), and both benefit from the highly optimized memory requirements and [ease of use](https://docs.ultralytics.com/quickstart/) that characterize the Ultralytics ecosystem. diff --git a/docs/en/compare/yolov5-vs-yolov9.md b/docs/en/compare/yolov5-vs-yolov9.md index dd61520cc19..13cd17fa988 100644 --- a/docs/en/compare/yolov5-vs-yolov9.md +++ b/docs/en/compare/yolov5-vs-yolov9.md @@ -13,7 +13,7 @@ Whether you are deploying to constrained edge devices, researching high-fidelity - + ## Model Overviews diff --git a/docs/en/compare/yolov5-vs-yolox.md b/docs/en/compare/yolov5-vs-yolox.md index f4b60177bda..cfb233635d4 100644 --- a/docs/en/compare/yolov5-vs-yolox.md +++ b/docs/en/compare/yolov5-vs-yolox.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical analysis of these two models, comparin - + ## Model Overviews and Architectural Differences diff --git a/docs/en/compare/yolov6-vs-damo-yolo.md b/docs/en/compare/yolov6-vs-damo-yolo.md index d94f5f2d746..5121b1e0bf0 100644 --- a/docs/en/compare/yolov6-vs-damo-yolo.md +++ b/docs/en/compare/yolov6-vs-damo-yolo.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, with new architectures - + ## Model Profiles diff --git a/docs/en/compare/yolov6-vs-efficientdet.md b/docs/en/compare/yolov6-vs-efficientdet.md index 1a10c7cbbd7..770d548bd99 100644 --- a/docs/en/compare/yolov6-vs-efficientdet.md +++ b/docs/en/compare/yolov6-vs-efficientdet.md @@ -13,7 +13,7 @@ Below is an interactive chart visualizing the performance differences between th - + ## YOLOv6-3.0: Industrial-Grade Throughput diff --git a/docs/en/compare/yolov6-vs-pp-yoloe.md b/docs/en/compare/yolov6-vs-pp-yoloe.md index a0cc60dd001..7287f1fdeec 100644 --- a/docs/en/compare/yolov6-vs-pp-yoloe.md +++ b/docs/en/compare/yolov6-vs-pp-yoloe.md @@ -11,7 +11,7 @@ When selecting a framework for real-time [object detection](https://docs.ultraly - + This technical comparison provides an in-depth look at their architectures, performance metrics, and training methodologies, while also introducing modern alternatives like [Ultralytics YOLO26](https://platform.ultralytics.com/ultralytics/yolo26) that offer superior versatility and ease of use. diff --git a/docs/en/compare/yolov6-vs-rtdetr.md b/docs/en/compare/yolov6-vs-rtdetr.md index 2d5ae3cd7da..61955314e41 100644 --- a/docs/en/compare/yolov6-vs-rtdetr.md +++ b/docs/en/compare/yolov6-vs-rtdetr.md @@ -13,7 +13,7 @@ While both models present significant milestones in artificial intelligence rese - + --- diff --git a/docs/en/compare/yolov6-vs-yolo11.md b/docs/en/compare/yolov6-vs-yolo11.md index 415099f03ca..7ad33203bef 100644 --- a/docs/en/compare/yolov6-vs-yolo11.md +++ b/docs/en/compare/yolov6-vs-yolo11.md @@ -11,7 +11,7 @@ When evaluating computer vision models for high-performance applications, choosi - + Both models offer strong solutions for [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) practitioners, but they cater to different deployment paradigms. Below, we break down their architectures, training methodologies, and ideal real-world deployment scenarios to help you make an informed decision. diff --git a/docs/en/compare/yolov6-vs-yolo26.md b/docs/en/compare/yolov6-vs-yolo26.md index 87d2b7f85c6..4b7140eb18b 100644 --- a/docs/en/compare/yolov6-vs-yolo26.md +++ b/docs/en/compare/yolov6-vs-yolo26.md @@ -13,7 +13,7 @@ Whether you are deploying to high-end server GPUs or low-power edge devices, und - + ## YOLOv6-3.0: Industrial Throughput diff --git a/docs/en/compare/yolov6-vs-yolov10.md b/docs/en/compare/yolov6-vs-yolov10.md index f5d40068aa0..3e508783504 100644 --- a/docs/en/compare/yolov6-vs-yolov10.md +++ b/docs/en/compare/yolov6-vs-yolov10.md @@ -11,7 +11,7 @@ The landscape of computer vision has grown increasingly complex, making the sele - + ## Unpacking YOLOv6-3.0: Built for Industrial Throughput diff --git a/docs/en/compare/yolov6-vs-yolov5.md b/docs/en/compare/yolov6-vs-yolov5.md index 8625a38ec02..63d61ffa10d 100644 --- a/docs/en/compare/yolov6-vs-yolov5.md +++ b/docs/en/compare/yolov6-vs-yolov5.md @@ -11,7 +11,7 @@ The evolution of real-time object detection has seen multiple architectures opti - + ## YOLOv6-3.0: Industrial Throughput and Hardware Optimization diff --git a/docs/en/compare/yolov6-vs-yolov7.md b/docs/en/compare/yolov6-vs-yolov7.md index 7f1d5090b70..65f79768fd2 100644 --- a/docs/en/compare/yolov6-vs-yolov7.md +++ b/docs/en/compare/yolov6-vs-yolov7.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores their architectures, performanc - + ## YOLOv6-3.0: Industrial Throughput Optimization diff --git a/docs/en/compare/yolov6-vs-yolov8.md b/docs/en/compare/yolov6-vs-yolov8.md index ca67ffb02dc..0912ae04052 100644 --- a/docs/en/compare/yolov6-vs-yolov8.md +++ b/docs/en/compare/yolov6-vs-yolov8.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed tremendous growth, with models contin - + ## YOLOv6-3.0: Industrial Throughput and Hardware Optimization diff --git a/docs/en/compare/yolov6-vs-yolov9.md b/docs/en/compare/yolov6-vs-yolov9.md index 1d429831831..8f1c29d8935 100644 --- a/docs/en/compare/yolov6-vs-yolov9.md +++ b/docs/en/compare/yolov6-vs-yolov9.md @@ -13,7 +13,7 @@ While both models offer unique architectural innovations, developers looking for - + ## YOLOv6-3.0: Industrial Throughput Optimization diff --git a/docs/en/compare/yolov6-vs-yolox.md b/docs/en/compare/yolov6-vs-yolox.md index 0a9aab72e3e..8754220c37a 100644 --- a/docs/en/compare/yolov6-vs-yolox.md +++ b/docs/en/compare/yolov6-vs-yolox.md @@ -11,7 +11,7 @@ The landscape of computer vision has been heavily shaped by models aiming to bri - + This comprehensive technical comparison dives into the architectures, performance metrics, and ideal use cases for YOLOv6-3.0 and YOLOX, while also exploring how the next-generation [Ultralytics YOLO26](https://platform.ultralytics.com/ultralytics/yolo26) model builds upon and surpasses these innovations. diff --git a/docs/en/compare/yolov7-vs-damo-yolo.md b/docs/en/compare/yolov7-vs-damo-yolo.md index 6ad65a2e850..01f8ceaa394 100644 --- a/docs/en/compare/yolov7-vs-damo-yolo.md +++ b/docs/en/compare/yolov7-vs-damo-yolo.md @@ -11,7 +11,7 @@ The landscape of real-time object detection is continually evolving, with resear - + ## Model Backgrounds and Technical Details diff --git a/docs/en/compare/yolov7-vs-efficientdet.md b/docs/en/compare/yolov7-vs-efficientdet.md index 41fd4ec2988..446a07e1677 100644 --- a/docs/en/compare/yolov7-vs-efficientdet.md +++ b/docs/en/compare/yolov7-vs-efficientdet.md @@ -11,7 +11,7 @@ Selecting the optimal neural network architecture is the foundation of any succe - + ## Model Origins and Technical Details diff --git a/docs/en/compare/yolov7-vs-pp-yoloe.md b/docs/en/compare/yolov7-vs-pp-yoloe.md index 3a832afa07d..8bf0eb1de7b 100644 --- a/docs/en/compare/yolov7-vs-pp-yoloe.md +++ b/docs/en/compare/yolov7-vs-pp-yoloe.md @@ -11,7 +11,7 @@ When evaluating state-of-the-art computer vision models for production pipelines - + ## Architectural Innovations diff --git a/docs/en/compare/yolov7-vs-rtdetr.md b/docs/en/compare/yolov7-vs-rtdetr.md index 57a1b9e368e..7a241e969c2 100644 --- a/docs/en/compare/yolov7-vs-rtdetr.md +++ b/docs/en/compare/yolov7-vs-rtdetr.md @@ -13,7 +13,7 @@ By analyzing their architectural differences, performance metrics, and ideal dep - + ## YOLOv7: The Bag-of-Freebies CNN Architecture diff --git a/docs/en/compare/yolov7-vs-yolo11.md b/docs/en/compare/yolov7-vs-yolo11.md index c0da8e57537..47db45d9e2c 100644 --- a/docs/en/compare/yolov7-vs-yolo11.md +++ b/docs/en/compare/yolov7-vs-yolo11.md @@ -11,7 +11,7 @@ The landscape of computer vision has rapidly evolved over the past few years. Fo - + ## Model Origins and Architectural Philosophies diff --git a/docs/en/compare/yolov7-vs-yolo26.md b/docs/en/compare/yolov7-vs-yolo26.md index 30cb4834919..1f93bf5b77b 100644 --- a/docs/en/compare/yolov7-vs-yolo26.md +++ b/docs/en/compare/yolov7-vs-yolo26.md @@ -11,7 +11,7 @@ The evolution of computer vision has been marked by significant milestones, and - + ## YOLOv7: The "Bag-of-Freebies" Pioneer diff --git a/docs/en/compare/yolov7-vs-yolov10.md b/docs/en/compare/yolov7-vs-yolov10.md index 47f1e30f060..dd1583dc2dc 100644 --- a/docs/en/compare/yolov7-vs-yolov10.md +++ b/docs/en/compare/yolov7-vs-yolov10.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed remarkable advancements over the past - + ## Introduction to the Models diff --git a/docs/en/compare/yolov7-vs-yolov5.md b/docs/en/compare/yolov7-vs-yolov5.md index 4301745a518..f2103756687 100644 --- a/docs/en/compare/yolov7-vs-yolov5.md +++ b/docs/en/compare/yolov7-vs-yolov5.md @@ -13,7 +13,7 @@ By analyzing their architectural differences, performance metrics, and ideal dep - + ## Model Background and Origins diff --git a/docs/en/compare/yolov7-vs-yolov6.md b/docs/en/compare/yolov7-vs-yolov6.md index b18014e94ac..80fa9c889af 100644 --- a/docs/en/compare/yolov7-vs-yolov6.md +++ b/docs/en/compare/yolov7-vs-yolov6.md @@ -11,7 +11,7 @@ The field of computer vision is constantly evolving, with new object detection m - + ## YOLOv7: The Bag-of-Freebies Pioneer diff --git a/docs/en/compare/yolov7-vs-yolov8.md b/docs/en/compare/yolov7-vs-yolov8.md index 6bf9591cfe3..996ffe3e8b3 100644 --- a/docs/en/compare/yolov7-vs-yolov8.md +++ b/docs/en/compare/yolov7-vs-yolov8.md @@ -11,7 +11,7 @@ The rapid evolution of computer vision has produced an array of powerful tools f - + ## Introduction to the Architectures diff --git a/docs/en/compare/yolov7-vs-yolov9.md b/docs/en/compare/yolov7-vs-yolov9.md index 629db436ef5..95007794982 100644 --- a/docs/en/compare/yolov7-vs-yolov9.md +++ b/docs/en/compare/yolov7-vs-yolov9.md @@ -13,7 +13,7 @@ We will analyze their architectural breakthroughs, performance metrics, and idea - + ## Model Lineage and Technical Specifications diff --git a/docs/en/compare/yolov7-vs-yolox.md b/docs/en/compare/yolov7-vs-yolox.md index 425f42f1152..1849ab1c79f 100644 --- a/docs/en/compare/yolov7-vs-yolox.md +++ b/docs/en/compare/yolov7-vs-yolox.md @@ -11,7 +11,7 @@ The evolution of computer vision has been marked by rapid advancements in real-t - + ## Introduction to the Models diff --git a/docs/en/compare/yolov8-vs-damo-yolo.md b/docs/en/compare/yolov8-vs-damo-yolo.md index 7c2fd3c9374..a4c181f2e64 100644 --- a/docs/en/compare/yolov8-vs-damo-yolo.md +++ b/docs/en/compare/yolov8-vs-damo-yolo.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, with new architectures - + ## Model Backgrounds and Origins diff --git a/docs/en/compare/yolov8-vs-efficientdet.md b/docs/en/compare/yolov8-vs-efficientdet.md index d9a6ab63a6e..380fdcff0c9 100644 --- a/docs/en/compare/yolov8-vs-efficientdet.md +++ b/docs/en/compare/yolov8-vs-efficientdet.md @@ -13,7 +13,7 @@ Whether your deployment targets high-performance cloud servers or resource-const - + ## Architectural Overview diff --git a/docs/en/compare/yolov8-vs-pp-yoloe.md b/docs/en/compare/yolov8-vs-pp-yoloe.md index 3817620dd86..15f3ff7554c 100644 --- a/docs/en/compare/yolov8-vs-pp-yoloe.md +++ b/docs/en/compare/yolov8-vs-pp-yoloe.md @@ -11,7 +11,7 @@ In the rapidly evolving field of [computer vision](https://en.wikipedia.org/wiki - + ## Ultralytics YOLOv8: The Versatile Ecosystem Standard diff --git a/docs/en/compare/yolov8-vs-rtdetr.md b/docs/en/compare/yolov8-vs-rtdetr.md index 5d000df9cac..0ef3cecb520 100644 --- a/docs/en/compare/yolov8-vs-rtdetr.md +++ b/docs/en/compare/yolov8-vs-rtdetr.md @@ -11,7 +11,7 @@ The landscape of computer vision is constantly evolving, with new architectures - + ## YOLOv8 Overview diff --git a/docs/en/compare/yolov8-vs-yolo11.md b/docs/en/compare/yolov8-vs-yolo11.md index 2960f166b64..b312ccc1337 100644 --- a/docs/en/compare/yolov8-vs-yolo11.md +++ b/docs/en/compare/yolov8-vs-yolo11.md @@ -13,7 +13,7 @@ Both models demonstrate the hallmark features of Ultralytics architectures—**e - + ## Model Overviews diff --git a/docs/en/compare/yolov8-vs-yolo26.md b/docs/en/compare/yolov8-vs-yolo26.md index 8de021e6e35..3026dffa3b5 100644 --- a/docs/en/compare/yolov8-vs-yolo26.md +++ b/docs/en/compare/yolov8-vs-yolo26.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed remarkable advancements over the last - + ## Model Overviews diff --git a/docs/en/compare/yolov8-vs-yolov10.md b/docs/en/compare/yolov8-vs-yolov10.md index da9f0e2a6c8..090f45d1327 100644 --- a/docs/en/compare/yolov8-vs-yolov10.md +++ b/docs/en/compare/yolov8-vs-yolov10.md @@ -11,7 +11,7 @@ The evolution of real-time [object detection](https://docs.ultralytics.com/tasks - + ## Model Overview: YOLOv8 diff --git a/docs/en/compare/yolov8-vs-yolov5.md b/docs/en/compare/yolov8-vs-yolov5.md index 17e50718751..7a5547efc68 100644 --- a/docs/en/compare/yolov8-vs-yolov5.md +++ b/docs/en/compare/yolov8-vs-yolov5.md @@ -13,7 +13,7 @@ Whether you are deploying to edge devices or scaling cloud inference, understand - + ## Ultralytics YOLOv8: The Versatile Standard diff --git a/docs/en/compare/yolov8-vs-yolov6.md b/docs/en/compare/yolov8-vs-yolov6.md index 83b6c1d10d3..1bdcd5a379a 100644 --- a/docs/en/compare/yolov8-vs-yolov6.md +++ b/docs/en/compare/yolov8-vs-yolov6.md @@ -13,7 +13,7 @@ This comprehensive guide provides an in-depth analysis of their architectures, p - + ## Model Lineage and Details diff --git a/docs/en/compare/yolov8-vs-yolov7.md b/docs/en/compare/yolov8-vs-yolov7.md index 5d0c721ffe1..db1d9b10d8d 100644 --- a/docs/en/compare/yolov8-vs-yolov7.md +++ b/docs/en/compare/yolov8-vs-yolov7.md @@ -11,7 +11,7 @@ The field of computer vision is constantly evolving, with new architectures push - + Understanding the structural and methodological differences between these two models is crucial for machine learning engineers looking to optimize their deployment pipelines. While YOLOv7 introduced a powerful "bag-of-freebies" approach tailored for raw throughput, Ultralytics YOLOv8 focused on creating a holistic, easy-to-use ecosystem that balances high accuracy with low memory consumption and multi-task versatility. diff --git a/docs/en/compare/yolov8-vs-yolov9.md b/docs/en/compare/yolov8-vs-yolov9.md index 4793b19c050..a09aa6e7119 100644 --- a/docs/en/compare/yolov8-vs-yolov9.md +++ b/docs/en/compare/yolov8-vs-yolov9.md @@ -13,7 +13,7 @@ This comprehensive guide breaks down the technical differences, architectural in - + ## Model Lineage and Core Philosophies diff --git a/docs/en/compare/yolov8-vs-yolox.md b/docs/en/compare/yolov8-vs-yolox.md index 1721b640a0e..129617d676a 100644 --- a/docs/en/compare/yolov8-vs-yolox.md +++ b/docs/en/compare/yolov8-vs-yolox.md @@ -11,7 +11,7 @@ The landscape of computer vision has been heavily shaped by the continuous evolu - + This comprehensive technical comparison explores their respective architectures, training methodologies, and real-world performance metrics to help developers and researchers choose the optimal solution for their vision AI applications. diff --git a/docs/en/compare/yolov9-vs-damo-yolo.md b/docs/en/compare/yolov9-vs-damo-yolo.md index fe1f49fa868..97e49415347 100644 --- a/docs/en/compare/yolov9-vs-damo-yolo.md +++ b/docs/en/compare/yolov9-vs-damo-yolo.md @@ -13,7 +13,7 @@ This guide provides an in-depth, technical comparison of YOLOv9 and DAMO-YOLO, h - + ## Architectural Deep Dive diff --git a/docs/en/compare/yolov9-vs-efficientdet.md b/docs/en/compare/yolov9-vs-efficientdet.md index 8ce6a7b57df..e5c58349540 100644 --- a/docs/en/compare/yolov9-vs-efficientdet.md +++ b/docs/en/compare/yolov9-vs-efficientdet.md @@ -13,7 +13,7 @@ This guide provides an in-depth technical analysis comparing these two architect - + ## Model Origins and Technical Specifications diff --git a/docs/en/compare/yolov9-vs-pp-yoloe.md b/docs/en/compare/yolov9-vs-pp-yoloe.md index a7da0b1d01d..3cccd2b21cc 100644 --- a/docs/en/compare/yolov9-vs-pp-yoloe.md +++ b/docs/en/compare/yolov9-vs-pp-yoloe.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores their architectures, training m - + ## Model Origins and Technical Specifications diff --git a/docs/en/compare/yolov9-vs-rtdetr.md b/docs/en/compare/yolov9-vs-rtdetr.md index ac6754ec5b3..9c7388b2ebb 100644 --- a/docs/en/compare/yolov9-vs-rtdetr.md +++ b/docs/en/compare/yolov9-vs-rtdetr.md @@ -13,7 +13,7 @@ This comprehensive guide compares these two powerful models, analyzing their arc - + ## Executive Summary diff --git a/docs/en/compare/yolov9-vs-yolo11.md b/docs/en/compare/yolov9-vs-yolo11.md index 851eef1d507..02829f1e06f 100644 --- a/docs/en/compare/yolov9-vs-yolo11.md +++ b/docs/en/compare/yolov9-vs-yolo11.md @@ -13,7 +13,7 @@ This comprehensive technical comparison analyzes their architectures, performanc - + !!! tip "Future-Proof Your Project with YOLO26" diff --git a/docs/en/compare/yolov9-vs-yolo26.md b/docs/en/compare/yolov9-vs-yolo26.md index 7f78d6c1ac5..a34f60536e6 100644 --- a/docs/en/compare/yolov9-vs-yolo26.md +++ b/docs/en/compare/yolov9-vs-yolo26.md @@ -11,7 +11,7 @@ The landscape of real-time [object detection](https://en.wikipedia.org/wiki/Obje - + ## Executive Summary: Model Lineage and Authorship diff --git a/docs/en/compare/yolov9-vs-yolov10.md b/docs/en/compare/yolov9-vs-yolov10.md index 3f2d0d8d179..1bdf1b1faff 100644 --- a/docs/en/compare/yolov9-vs-yolov10.md +++ b/docs/en/compare/yolov9-vs-yolov10.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores their architectures, performanc - + ## Model Origins and Architectural Breakthroughs diff --git a/docs/en/compare/yolov9-vs-yolov5.md b/docs/en/compare/yolov9-vs-yolov5.md index 08514a8bd41..7f08e0ca211 100644 --- a/docs/en/compare/yolov9-vs-yolov5.md +++ b/docs/en/compare/yolov9-vs-yolov5.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed tremendous growth, with object detect - + ## Architectural Innovations and Technical Origins diff --git a/docs/en/compare/yolov9-vs-yolov6.md b/docs/en/compare/yolov9-vs-yolov6.md index 5140bbddb98..1022c4f694e 100644 --- a/docs/en/compare/yolov9-vs-yolov6.md +++ b/docs/en/compare/yolov9-vs-yolov6.md @@ -13,7 +13,7 @@ This technical guide provides an in-depth comparison between two highly capable - + ## YOLOv9 Overview: Maximizing Feature Retention diff --git a/docs/en/compare/yolov9-vs-yolov7.md b/docs/en/compare/yolov9-vs-yolov7.md index e268a5af712..40f329060ff 100644 --- a/docs/en/compare/yolov9-vs-yolov7.md +++ b/docs/en/compare/yolov9-vs-yolov7.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores the architectural differences, - + ## Performance and Metrics Comparison diff --git a/docs/en/compare/yolov9-vs-yolov8.md b/docs/en/compare/yolov9-vs-yolov8.md index 9ff25a1f04a..ab222168d48 100644 --- a/docs/en/compare/yolov9-vs-yolov8.md +++ b/docs/en/compare/yolov9-vs-yolov8.md @@ -13,7 +13,7 @@ This comprehensive guide contrasts these two heavyweights, analyzing their archi - + ## Technical Specifications and Authorship diff --git a/docs/en/compare/yolov9-vs-yolox.md b/docs/en/compare/yolov9-vs-yolox.md index 88718e37eed..1958feb3944 100644 --- a/docs/en/compare/yolov9-vs-yolox.md +++ b/docs/en/compare/yolov9-vs-yolox.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed a rapid evolution in real-time object - + ## Architectural Innovations diff --git a/docs/en/compare/yolox-vs-damo-yolo.md b/docs/en/compare/yolox-vs-damo-yolo.md index c49d5edceba..eb00f2b6e5a 100644 --- a/docs/en/compare/yolox-vs-damo-yolo.md +++ b/docs/en/compare/yolox-vs-damo-yolo.md @@ -11,7 +11,7 @@ The evolution of real-time object detection has seen numerous paradigms shift, f - + ## YOLOX: Pioneering the Anchor-Free Paradigm diff --git a/docs/en/compare/yolox-vs-efficientdet.md b/docs/en/compare/yolox-vs-efficientdet.md index 0e1b9ece1e4..ee2fdd8e83e 100644 --- a/docs/en/compare/yolox-vs-efficientdet.md +++ b/docs/en/compare/yolox-vs-efficientdet.md @@ -36,7 +36,7 @@ Before diving into their structural differences, it is important to understand t - + ## Architectural Comparison diff --git a/docs/en/compare/yolox-vs-pp-yoloe.md b/docs/en/compare/yolox-vs-pp-yoloe.md index ef637118cab..29017d41c4e 100644 --- a/docs/en/compare/yolox-vs-pp-yoloe.md +++ b/docs/en/compare/yolox-vs-pp-yoloe.md @@ -11,7 +11,7 @@ When designing a robust [computer vision](https://www.ultralytics.com/glossary/c - + ## Architectural Innovations and Design diff --git a/docs/en/compare/yolox-vs-rtdetr.md b/docs/en/compare/yolox-vs-rtdetr.md index 1dfe61e9814..4c86d000787 100644 --- a/docs/en/compare/yolox-vs-rtdetr.md +++ b/docs/en/compare/yolox-vs-rtdetr.md @@ -13,7 +13,7 @@ While both models have made significant contributions to the field of [object de - + ## YOLOX: Bridging the Gap Between Research and Industry diff --git a/docs/en/compare/yolox-vs-yolo11.md b/docs/en/compare/yolox-vs-yolo11.md index 1ea7f5c5cf2..e41154ecbd9 100644 --- a/docs/en/compare/yolox-vs-yolo11.md +++ b/docs/en/compare/yolox-vs-yolo11.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores their architectures, performanc - + ## YOLOX Overview diff --git a/docs/en/compare/yolox-vs-yolo26.md b/docs/en/compare/yolox-vs-yolo26.md index af531eb92f8..c3f93147ea8 100644 --- a/docs/en/compare/yolox-vs-yolo26.md +++ b/docs/en/compare/yolox-vs-yolo26.md @@ -11,7 +11,7 @@ The field of computer vision has witnessed incredible transformations over the p - + ## Model Overviews diff --git a/docs/en/compare/yolox-vs-yolov10.md b/docs/en/compare/yolox-vs-yolov10.md index e4641c0e4b0..530d14e99a0 100644 --- a/docs/en/compare/yolox-vs-yolov10.md +++ b/docs/en/compare/yolox-vs-yolov10.md @@ -13,7 +13,7 @@ This comprehensive technical comparison explores the architectures, performance - + ## Model Origins and Metadata diff --git a/docs/en/compare/yolox-vs-yolov5.md b/docs/en/compare/yolox-vs-yolov5.md index 3f9de497b50..0bcb2a75c88 100644 --- a/docs/en/compare/yolox-vs-yolov5.md +++ b/docs/en/compare/yolox-vs-yolov5.md @@ -11,7 +11,7 @@ Selecting the right object detection model is a critical decision that dictates - + ## Introduction to the Models diff --git a/docs/en/compare/yolox-vs-yolov6.md b/docs/en/compare/yolox-vs-yolov6.md index 12961ae3df5..14bf0a6ec29 100644 --- a/docs/en/compare/yolox-vs-yolov6.md +++ b/docs/en/compare/yolox-vs-yolov6.md @@ -11,7 +11,7 @@ The evolution of [computer vision](https://www.ultralytics.com/glossary/computer - + This technical comparison breaks down their architectural differences, performance metrics, and ideal use cases, while also introducing the next-generation capabilities of [Ultralytics YOLO26](https://platform.ultralytics.com/ultralytics/yolo26) for developers seeking the ultimate edge and cloud deployment solution. diff --git a/docs/en/compare/yolox-vs-yolov7.md b/docs/en/compare/yolox-vs-yolov7.md index e3b788d2136..fa51ebfa20a 100644 --- a/docs/en/compare/yolox-vs-yolov7.md +++ b/docs/en/compare/yolox-vs-yolov7.md @@ -13,7 +13,7 @@ This page provides an in-depth technical analysis of YOLOX and YOLOv7, comparing - + ## YOLOX: Pioneering Anchor-Free Detection diff --git a/docs/en/compare/yolox-vs-yolov8.md b/docs/en/compare/yolox-vs-yolov8.md index 6bcd817045f..e9e4d4d70c1 100644 --- a/docs/en/compare/yolox-vs-yolov8.md +++ b/docs/en/compare/yolox-vs-yolov8.md @@ -13,7 +13,7 @@ By analyzing their unique architectures, training methodologies, and deployment - + ## YOLOX: Bridging Research and Industry diff --git a/docs/en/compare/yolox-vs-yolov9.md b/docs/en/compare/yolox-vs-yolov9.md index 4a6b8bfacd7..78dd328a2bd 100644 --- a/docs/en/compare/yolox-vs-yolov9.md +++ b/docs/en/compare/yolox-vs-yolov9.md @@ -13,7 +13,7 @@ This technical guide explores their architectural nuances, performance benchmark - + ## YOLOX: Pioneering the Anchor-Free Paradigm