kevin-ssy/FishNet
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
This project offers a robust framework for advanced computer vision tasks, enabling accurate analysis of images for various predictions. It takes raw image data and processes it to identify objects, classify scenes, or segment specific regions, outputting highly precise predictions. This tool is for AI researchers and machine learning engineers who develop and deploy computer vision models.
545 stars. No commits in the last 6 months.
Use this if you need a high-performing and versatile deep learning backbone to build state-of-the-art image recognition, object detection, or semantic segmentation systems.
Not ideal if you are looking for a plug-and-play solution for general image editing or simple photo categorization without deep learning expertise.
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545
Forks
93
Language
Python
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Last pushed
May 17, 2019
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