The dataset contains 6,197 images each image has its annotation files .
The dataset contains 10216 images from numbers 0 to 99, each folder contains images of a specific number and the name of the folder is label for the images.
- The dataset was divided into three parts: 70% of the data for training, 10% for validation, and 20% for testing.
- The dataset at https://drive.google.com/drive/folders/1zjyOr_tv7yiCzgCbItJA86QXpX6gEEh8?usp=sharing
Run the code : python main.py --videos path of video