liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
This project offers a sophisticated method for image classification that achieves high accuracy with fewer computational resources compared to previous techniques. It takes raw image data and classifies it into predefined categories, such as identifying objects or scenes. The primary users are researchers and practitioners in computer vision who need efficient and accurate image recognition systems.
4,855 stars. No commits in the last 6 months.
Use this if you are developing computer vision applications that require state-of-the-art image classification while optimizing for memory and computational efficiency.
Not ideal if you are looking for a pre-built, user-friendly application for image classification rather than a foundational architecture for model development.
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Language
Lua
License
BSD-3-Clause
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Last pushed
Jan 09, 2024
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