I

image-classification

An open-source computer vision framework for wildlife image analysis, featuring state-of-the-art models for species classification and detection.

PyTorch reimplementation of CheXNet: multi-label classification and CAM/Grad-CAM localization of 14 thoracic diseases on ChestX-ray14, with full-resolution (1024px) ResNet50 training.

HOG/LBP + SVM classifier🖼️, A comparative study of traditional computer vision features (HOG vs LBP) with SVM classifier for image classification.

Test project for neural networks - Handwritten digit recognition on MNIST dataset