- Please install Pytorch https://pytorch.org/
- Download datasets from https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p, https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p-no-gesture, https://www.kaggle.com/datasets/zhansayasovetbek/hagrid384pbalanced
HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. HaGRID size is 716GB and dataset contains 552,992 FullHD (1920 × 1080) RGB images divided into 18 classes of gestures. Also, some images have no_gesture class if there is a second free hand in the frame. This extra class contains 123,589 samples. The data were split into training 92%, and testing 8% sets by subject user_id, with 509,323 images for train and 43,669 images for test.
- MobileNet V3 small
- GoodleNet
- ResNet
