YOLOv11 for hand detection

This is a model trained for detecting hands in photos based on YOLOv11.

Dataset

We used the 100DOH as the train&val set.

Quickly start

If you want to use the model we trianed directly, please follow the steps:

1.download the code

git clone https://github.com/sunnygit2005/YOLOv11_4_hands

1.create the virtual env

We suggest to use the python=3.9:

conda create -n yolov11 python=3.9

2.install the packages

pip install -r requirements.txt

3.try the detect task

The model was stored in hand_model/weights/best.pt, and you can do a test by following this:

cd ./ultralytics
yolo predict model=hand_model/weights/best.pt source=test_photos/test_hand1.jpg

Of course you can do other task by reading the director docs of the original work of YOLOv11 @https://github.com/ultralytics/ultralytics