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.
python
data-science
machine-learning
computer-vision
deep-learning
pytorch
image-classification
clip
cats-vs-dogs
fisher-algorithm
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Updated
May 24, 2024 - Python