pet-classification

A Convolutional Neural Network based image classification project for automatic cat and dog recognition. Built using TensorFlow and Keras, the model performs binary image classification through convolution, pooling, and fully connected layers with data augmentation and real-time prediction.

AI Pet Classifier: Instantly identify cats vs. dogs using deep learning. Upload any image for accurate classification with confidence scores. Built with Streamlit and TensorFlow, featuring a modern UI and detailed prediction insights.

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

PetLens: ViT 품종 분석과 CLIP 의미 기반 검색을 연결한 반려동물 멀티모달 웹 서비스 - 수도권 ICT 이노베이션스퀘어 AI 멀티모달 과정

A deep learning project that classifies pet images using a Convolutional Neural Network (CNN) built with Python and TensorFlow/Keras.