sebastian-sz/efficientnet-lite-keras
Keras reimplementation of EfficientNet Lite.
This project offers pre-built, lightweight image classification models that are optimized for use on mobile devices and embedded systems. You provide images, and the models can classify them into categories or extract visual features for further analysis. It is designed for machine learning engineers and developers who need to integrate efficient image recognition capabilities into resource-constrained applications.
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Use this if you are developing computer vision applications for mobile phones, IoT devices, or other hardware with limited processing power and memory.
Not ideal if you require the absolute highest accuracy for complex image tasks and are not constrained by device resources, as the 'Lite' models prioritize efficiency over peak performance.
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46
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Language
Python
License
Apache-2.0
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Last pushed
Mar 23, 2023
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