
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](https://huggingface.co/joangog/pwmfd-yolov5/tensorboard?scroll=1#graphs&run=.)

**AP:**

- Evaluation from pycocotools: **67%**
- Evaluation from yolov5 val.py script: **71%**

**fps**:
- Nvidia Geforce GTX960, 4 GB: **69 fps**


{"language": ["en"], "tags": ["pytorch", "yolov5"], "datasets": ["pwmfd"], "metrics": ["coco"]}
transformers pytorch tensorboard yolov5 en dataset:pwmfd endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #yolov5 #en #dataset-pwmfd #endpoints_compatible #region-us 


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 URL script: 71%

fps:
- Nvidia Geforce GTX960, 4 GB: 69 fps


TAGS
#transformers #pytorch #tensorboard #yolov5 #en #dataset-pwmfd #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #tensorboard #yolov5 #en #dataset-pwmfd #endpoints_compatible #region-us 
