NVlabs/AL-MDN
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)
This project helps computer vision engineers and researchers efficiently train object detection models. It takes in raw image datasets and outputs highly accurate object detection models with less manual labeling effort. It's designed for those who need to build robust object detectors but are constrained by the cost and time of annotating large datasets.
176 stars. No commits in the last 6 months.
Use this if you need to train an object detection model with high accuracy while minimizing the amount of data you need to manually label.
Not ideal if you are looking for a pre-trained model or a user-friendly application to run detections without custom model training.
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176
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23
Language
Python
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Last pushed
Dec 01, 2021
Commits (30d)
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