iscyy/ultralyticsPro

🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

47
/ 100
Emerging

This project helps deep learning engineers improve existing YOLO models for object detection tasks. It allows you to customize various architectural components like the backbone, neck, head, loss functions, and NMS. The output is a modified and potentially more performant YOLO model tailored to specific datasets or requirements, used by researchers or practitioners working with computer vision.

2,921 stars.

Use this if you are a deep learning engineer needing to customize or enhance the performance of a YOLO-series object detection model.

Not ideal if you are a beginner looking for an out-of-the-box object detection solution without needing to delve into model architecture modifications.

object-detection computer-vision deep-learning-engineering model-customization YOLO-enhancement
No License No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

2,921

Forks

462

Language

Python

License

Last pushed

Dec 15, 2025

Commits (30d)

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