Optimized YOLOv5 model trained on the PWMFD medical masks dataset using transfer learning from COCO with frozen backbone, data augmentations such as mosaic, and an input image size of 320 x 320.
Architecture: here
AP:
- Evaluation from pycocotools: 67%
- Evaluation from yolov5 val.py script: 71%
fps:
- Nvidia Geforce GTX960, 4 GB: 69 fps
- Downloads last month
- 2
Unable to determine this model’s pipeline type. Check the
docs
.