pxl-th/EfficientNet.jl
EfficientNet implementation in Julia
This project offers a ready-to-use image classification tool, built on the EfficientNet architecture, directly within the Julia programming environment. It takes images as input and provides classifications, such as identifying objects or scenes, as output. Data scientists, machine learning engineers, and researchers working with image-based data will find this useful for tasks like object recognition or image content analysis.
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Use this if you need to quickly classify images or extract image features for further analysis using pre-trained EfficientNet models in Julia.
Not ideal if you prefer working outside of Julia or require a custom image recognition architecture that isn't based on EfficientNet.
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Julia
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Last pushed
Dec 31, 2021
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