GitHub / encord-team / encord-active

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

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Commit Stats

Commits: 647
Authors: 14
Mean commits per author: 46.21
Development Distribution Score: 0.683
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/encord-team/encord-active

Topics: active-learning, annotations, computer-vision, data, data-centric, data-cleaning, data-quality, data-science, data-validation, deep-learning, label-errors, label-quality, machine-learning, ml, mlops, model-quality, noisy-labels, object-detection, python

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