GitHub / rohansikder / Comparative-Analysis-of-CNN-Models-for-Gesture-Recognition

This repository is a comparative analysis of various CNN models for gesture recognition, focusing on the impact of RGB versus grayscale images and the efficacy of transfer learning with VGG-16. It includes a detailed study with custom-built CNN architectures and VGG-16 models, exploring their performance in recognizing human gestures from images.

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Topics: cnn-keras, convolutional-neural-networks, gesture-recognition, machine-vision, python, tensorflow, transfer-learning

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