zhmiao/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
This tool helps computer vision researchers accurately identify objects in images, even when some objects appear very rarely in datasets. You feed in a large collection of images, and it outputs an improved image recognition model that can better classify both common and uncommon objects. This is primarily for researchers and practitioners working on advanced image recognition tasks with imbalanced datasets.
869 stars. No commits in the last 6 months.
Use this if you are building an image recognition system where some object categories have significantly fewer training examples than others, and you need to accurately identify all categories, including the rare ones.
Not ideal if your image datasets are well-balanced across all categories, or if you are looking for a plug-and-play solution without deep involvement in model training.
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Language
Python
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BSD-3-Clause
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Last pushed
Jul 16, 2022
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