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This project uses OpenAI's CLIP model and a Fisher algorithm to classify cat and dog images. The dataset is split into training and testing sets, embeddings are extracted with CLIP, and the Fisher algorithm is applied to classify the images. Performance is evaluated with accuracy, precision, recall, and F1 score, visualized with a confusion matrix.

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AliElsaeid/CLIP-Based-Image-Classification-with-Fisher-Algorithm-for-Cat-vs-Dog-Recognition

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This project uses OpenAI's CLIP model and a Fisher algorithm to classify cat and dog images. The dataset is split into training and testing sets, embeddings are extracted with CLIP, and the Fisher algorithm is applied to classify the images. Performance is evaluated with accuracy, precision, recall, and F1 score, visualized with a confusion matrix.

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