amirbar/DETReg
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
This project helps computer vision practitioners train object detection models more effectively, especially when they have limited labeled data. It takes in collections of images (like ImageNet or COCO) and produces a highly capable object detection model that can accurately locate and identify objects within new images. It is ideal for researchers and engineers working on advanced computer vision applications.
338 stars. No commits in the last 6 months.
Use this if you need to develop robust object detection models but struggle with obtaining vast amounts of manually labeled training data.
Not ideal if you are looking for a plug-and-play solution for general image classification or a tool for basic image editing.
Stars
338
Forks
48
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 18, 2023
Commits (30d)
0
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