open-edge-platform/annflux
A research tool for exploring and annotating large datasets with Active Learning
This tool helps researchers efficiently explore and label very large collections of images or other visual data. You input your raw images, and it helps you categorize them, producing a curated, labeled dataset ready for further analysis or model training. This is ideal for scientists or researchers working with extensive visual datasets who need to efficiently categorize and prepare their data.
Use this if you need to rapidly annotate a large image dataset for research, especially when manual labeling would be too time-consuming.
Not ideal if your dataset is small, you don't work with images, or you prefer a fully automated labeling process without human input.
Stars
14
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 24, 2025
Commits (30d)
0
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