Sign Alphabet Detection

This project aims to classify images containing alphabets in sign languages using TensorFlow. The application features a user-friendly GUI built with Tkinter.

Dataset & Performance

1. Original Dataset: The initial dataset used is available here.

   • Train Accuracy: 95%
   • Test Accuracy: 93%
   • However, the model's performance in a live environment was suboptimal due to differences in image quality between the training and live data. Live images were notably of lower quality.

2. Custom Dataset: To address the bias in the original dataset, a custom dataset was generated using the dataset_generater_tool.py.

   • Train Accuracy: 96%
   • Test Accuracy: 93%
   • Notably, this model exhibited significantly improved performance in live scenarios.

Heatmap for Different Classes