Photo Classifier: Transfer Learning on 445 Photos
ResNet18 fine-tuned to sort personal photos into six categories (people, documents, landscape, adi, food, lab). Frozen-backbone baseline beat full fine-tuning at 97.8% vs 95.5% validation accuracy on a 445-image dataset. Ships as a Streamlit web app plus a CLI that streams thousands of photos from disk.
Machine LearningTransfer LearningPyTorchResNet18CNNStreamlitComputer Vision