To learn more about the architecture behind the YOLOv7, click here.
Performance
| Model | YOLOv7-X |
| Test Size |
640 |
| AP |
53.1% |
| AP - 50 |
71.2% |
| AP - 75 |
57.8% |
Citation
@article{wang2022yolov7,
title={{YOLOv7}: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors},
author={Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
journal={arXiv preprint arXiv:2207.02696},
year={2022}
}
