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
45
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.