GitHub / TheAIExplorer / CatFaceLandmarksDetection

Find App Link below. This project involves using CNNs to predict facial landmarks on images of cat faces. It utilizes Python, OpenCV, TensorFlow, and Keras libraries for image processing, modeling, and training. The ResNet50 architecture is employed as the base model, augmented with dense layers for facial landmark prediction

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Commits: 4
Authors: 1
Mean commits per author: 4.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/TheAIExplorer/CatFaceLandmarksDetection

Topics: catfacelandmarks, cats, cats-vs-dogs, cnn, cnn-architecture, cnn-classification, cnn-for-visual-recognition, cnn-keras, cnn-model, convolutional-neural-networks

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