MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
The very first open-source dataset for chicken re-identification 🐔
🐾 This project builds a deep learning model to classify animals from images using transfer learning and CNNs. It processes visual data, predicts species with high accuracy, and presents results through an interactive dashboard—ideal for ecological research, education, and real-time applications.
Used PCA for dimension reduction of a 25x25 animal image dataset. After the feature extraction step, a KNN classifier to distinguish the images in a 3D plane (3PC extraction). PCA and KNN are implemented from scratch. Matplot is used for 3D visualization.
Animal Dataset - Classify 10 different types of animals with Deep Learning
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