Shypd.aiThe largest open index of AI toolsDeepBeliefSDK is an open-source framework for image recognition, implementing a convolutional neural network architecture optimized for mobile devices. It enables local image analysis on iOS, Android, Linux, and OS X platforms.
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DeepBeliefSDK is an open-source framework developed by Jetpac for deep belief image recognition, specifically designed to run efficiently on mobile and low-power devices. It implements a convolutional neural network architecture, similar to that described by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton. The SDK is highly optimized, capable of analyzing an image in under 300ms on an iPhone 5S and around 650ms on a Samsung Galaxy S5. It supports various platforms including iOS, Android, Linux, and OS X, and can be integrated with OpenCV. The framework allows for retraining networks for custom object recognition, making it adaptable for specific applications like identifying logos or distinguishing scene types.
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