Instructions to use joangog/pwmfd-yolov5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joangog/pwmfd-yolov5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joangog/pwmfd-yolov5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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
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