Website: https://www.kaggle.com/datasets/kapitanov/hagrid
Github: https://github.com/hukenovs/hagrid
Since the full dataset is 716GB we use the some subsample sets.
Train and validate sets: 500 Images for each class from HaGRID test set where used for training and validating the model
Train images download: https://sc.link/zlGy
Train annotation download: https://sc.link/DE5K
Test set: HaGRID subsambple set where used for testing our model
Test images download: https://sc.link/AO5l
Test annotation download: https://sc.link/EQ5g
Since the combined image files are so large we could not add them to the repository. The only folders that has to be added are under images.
├───manual_test
│ ├───grayscale
│ └───rgb
├───test_original
│ ├───call
│ ├───dislike
│ ├───fist
│ ├───four
│ ├───like
│ ├───mute
│ ├───ok
│ ├───one
│ ├───palm
│ ├───peace
│ ├───peace_inverted
│ ├───rock
│ ├───stop
│ ├───stop_inverted
│ ├───three
│ ├───three2
│ ├───two_up
│ └───two_up_inverted
├───test_preprocessed
│ ├───call
│ ├───dislike
│ ├───fist
│ ├───four
│ ├───like
│ ├───mute
│ ├───ok
│ ├───one
│ ├───palm
│ ├───peace
│ ├───peace_inverted
│ ├───rock
│ ├───stop
│ ├───stop_inverted
│ ├───three
│ ├───three2
│ ├───two_up
│ └───two_up_inverted
├───train_original
│ ├───call
│ ├───dislike
│ ├───fist
│ ├───four
│ ├───like
│ ├───mute
│ ├───ok
│ ├───one
│ ├───palm
│ ├───peace
│ ├───peace_inverted
│ ├───rock
│ ├───stop
│ ├───stop_inverted
│ ├───three
│ ├───three2
│ ├───two_up
│ └───two_up_inverted
└───train_preprocessed
├───call
├───dislike
├───fist
├───four
├───like
├───mute
├───ok
├───one
├───palm
├───peace
├───peace_inverted
├───rock
├───stop
├───stop_inverted
├───three
├───three2
├───two_up
└───two_up_inverted
Train_original and test_original contain the images used for training/validating and testing the model. Train_preprocessed and test_preprocessed contain the preprocessed images used by the model. The preprocessing is done in the notebook.