GKalliatakis/Keras-Application-Zoo
Reference implementations of popular DL models missing from keras-applications & keras-contrib
This project provides pre-built deep learning models for image analysis that are not typically found in standard Keras libraries. You input an image and the model outputs predictions about what the image contains, such as objects (from ImageNet categories) or scene types (like 'forest' or 'office'). It's designed for machine learning engineers and researchers who are building computer vision applications.
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Use this if you need to quickly classify images or extract features from them using well-known, pre-trained deep learning architectures that are not readily available in Keras's built-in application module.
Not ideal if you need models for tasks outside of image classification or feature extraction, or if you prefer to build all your deep learning models from scratch without relying on pre-trained components.
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Python
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MIT
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Last pushed
Jun 14, 2020
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