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.
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Updated
Aug 8, 2024 - Python