ASL Alphabet Dataset (Preprocessed with Train-Validation-Test Split)

This dataset is a preprocessed version of the ASL Alphabet dataset used for sign language recognition tasks.

The dataset has been organized into three subsets:- Training set- Validation set- Test set

The purpose of this dataset is to support deep learning models for hand gesture classification.

This work was carried out as part of a college project at Bennett University under the guidance of Garima Rathi.

Note: This dataset is derived from an existing publicly available ASL dataset and has been restructured for training and evaluation purposes.