Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors - WongKinYiu/yolov7

2024年3月28日 · yolov7是yolo系列中一款高效、精准且灵活的目标检测模型。目标检测任务中提供了更高的准确度、更强的实时性和更丰富的功能，是目标检测领域的强力工具。今天就跟着小编一起来全方面认识一下yolov7算法模型吧~

2023年5月17日 · 我们设计了边缘 GPU、普通 GPU 和云 GPU 的基本模型，它们分别称为 YOLOv7tiny、YOLOv7 和 YOLOv7-W6。 同时，我们还针对不同的业务需求，使用基础模型进行模型缩放，得到不同类型的模型。

yolov7 是一种先进的实时物体检测模型，其速度和准确性无与伦比。它在参数使用和推理速度方面都超过了 yolox、yolov5 和 ppyoloe 等其他模型。yolov7 的显著特点包括模型重参数化和动态标签分配，在不增加推理成本的情况下优化了性能。

2022年7月6日 · YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30...

2023年2月3日 · yolov7是yolo系列中一款高效、精准且灵活的目标检测模型。 目标检测 任务中提供了更高的准确度、更强的实时性和更丰富的功能，是 目标检测 领域的强力工具。

YOLOv7 offers several key features that revolutionize real-time object detection: Model Re-parameterization : Enhances the model's performance by optimizing gradient propagation paths. Dynamic Label Assignment : Uses a coarse-to-fine lead guided method to assign dynamic targets for outputs across different branches, improving accuracy.

2025年1月26日 · What is YOLOv7 and why is it considered a breakthrough in real-time object detection? YOLOv7 is a cutting-edge real-time object detection model that achieves unparalleled speed and accuracy. It surpasses other models, such as YOLOX, YOLOv5, and PPYOLOE, in both parameters usage and inference speed.

YOLOv7：高精度、高效率. Ultralytics YOLOv7以高精度和高效率著称，是复杂物体检测任务的有力竞争者。 架构：YOLOv7 在其架构中引入了 "扩展 "和 "复合缩放 "等技术，以在不牺牲准确性的前提下提高效率。它的重点是优化模型架构，以加快训练和推理速度，同时保持 ...

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100. YOLOv7-E6 object detector (56 FPS V100, 55.9% AP) outperforms both transformer-based detector SWIN-