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Oxford-IIIT-Pet-Classification-with-ResNet50

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This project uses ResNet50 to classify 37 pet breeds from the Oxford-IIIT Pet dataset, achieving ~92-93% accuracy with transfer learning, data augmentation, and fine-tuning. Includes ROC curve analysis and single-image prediction. Upload your pet pic to test! ?? Code runs on Colab with GPU support. ?README.md

computer-visionconvolutional-neural-networksdata-augmentationdeep-learningfine-tuningimage-classificationimage-processingmachine-learningoxford-iiit-petpet-classification
Creat：2025-08-25T15:40:00
Update：2025-08-25T15:45:56
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