A deep learning project to classify American Sign Language (ASL) alphabet images using EfficientNetB1 and transfer learning techniques. The model is trained and fine-tuned on an image dataset to ...
This project builds a deep learning model to classify American Sign Language (ASL) fingerspelling gestures from images. The system uses convolutional neural networks (CNNs) to recognize 28 hand signs ...
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