dawitabeye/Continuous-Ethiopian-Sign-Language-Recognition-Using-Convolutional-BiLSTM-

This repository implements Continuous Ethiopian Sign Language Recognition using ConvBiLSTM, capturing both spatial and temporal features. It includes preprocessing, data augmentation, and optimization and is trained on a 50-class EthSL dataset, achieving high accuracy and outperforming ConvLSTM. # Continuous-Ethiopian-Sign-Language-Recognition-Using-Convolutional-BiLSTM- This repository implements Continuous Ethiopian Sign Language Recognition using ConvBiLSTM, capturing both spatial and temporal features. It includes preprocessing, data augmentation, and optimization and is trained on a 50-class EthSL dataset, achieving high accuracy and outperforming ConvLSTM.