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RetinaNet
Automate object detection, identify multiple objects in medical imaging, and localize objects in video surveillance.
RetinaNet is a Keras implementation of the RetinaNet object detection algorithm available through GitHub for developers working on machine learning projects. The project provides code that can be used to build object detection models within the Keras framework for custom computer vision applications. It serves as an open source resource for those looking to implement specific deep learning architectures without starting from scratch.
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