encord-team/encord-active
An ML model evaluation and active learning toolkit that helps surface, curate, and prioritize high-value data for labeling in computer vision pipelines.
Not currently ranked — collecting fresh signals.
star history
Encord Active is a toolkit for testing, validating, and evaluating machine learning models with a focus on data-centric AI workflows. It enables active learning by helping users identify the most valuable samples for labeling and detecting label errors. The toolkit supports computer vision tasks including object detection, and provides data quality assessment, noisy label detection, and model quality monitoring capabilities.
Frequently asked
- What is encord-team/encord-active?
- An ML model evaluation and active learning toolkit that helps surface, curate, and prioritize high-value data for labeling in computer vision pipelines.
- Is encord-active open source?
- Yes — encord-team/encord-active is open source, released under the Apache-2.0 license.
- What language is encord-active written in?
- encord-team/encord-active is primarily written in Python.
- How popular is encord-active?
- encord-team/encord-active has 456 stars on GitHub.
- Where can I find encord-active?
- encord-team/encord-active is on GitHub at https://github.com/encord-team/encord-active.