AsadiAhmad/100-Sports-Image-Classification
A deep learning project for sport image classification using a custom VGG19-based architecture with integrated Grad-CAM heatmap visualization for model interpretability.
This project helps classify images into one of 100 different sports categories. You input a grayscale image of a sport, and it outputs the predicted sport along with a heatmap showing which parts of the image were most important for the classification. This tool is for anyone needing to automatically categorize sports images, like content managers, sports analysts, or data science students.
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Use this if you need to automatically identify and categorize specific sports from a collection of grayscale images and understand why the model made its decision.
Not ideal if you require classification of sports from color images or need to distinguish between sports not covered in the 100 categories.
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Jupyter Notebook
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MIT
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Last pushed
Jun 08, 2025
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