WangRongsheng/BestYOLO
🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!
This project helps computer vision researchers and practitioners build and experiment with YOLOv5 object detection models. It takes image datasets and configuration files as input, then outputs improved or customized object detection models ready for various deployments. Anyone working on research or competitive challenges in object detection would find this useful for rapid prototyping and exploring different model architectures.
241 stars. No commits in the last 6 months.
Use this if you are a researcher or participant in computer vision competitions looking to quickly iterate on YOLOv5 models by integrating various backbones, spatial pooling, and attention mechanisms.
Not ideal if you need a plug-and-play solution for general object detection without deep customization or a focus on research-oriented modifications.
Stars
241
Forks
36
Language
Python
License
GPL-3.0
Category
Last pushed
Oct 01, 2024
Commits (30d)
0
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