kamrulhasanrony/MMH-Gait

This project leverages state-of-the-art deep learning models—VGG-16, InceptionV1, ViT, EfficientNet-B0, and ResNet50—for gait image classification. By applying decision level fusion, feature level fusion, and hybrid fusion techniques, the project achieves enhanced accuracy, making it suitable for any image classification task.

Language: Python - Size: 1.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0