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pypi.org : autodistill-otter

Images to inference with no labeling (use foundation models to train supervised models).

Registry - Source - Documentation - JSON
purl: pkg:pypi/autodistill-otter
Keywords: auto-labeling, computer-vision, deep-learning, foundation-models, grounding-dino, image-annotation, image-classification, instance-segmentation, labeling-tool, machine-learning, model-distillation, multimodal, object-detection, pytorch, segment-anything, yolov5, yolov8
License: MIT
Latest release: 12 months ago
First release: 12 months ago
Downloads: 23 last month
Stars: 1,566 on GitHub
Forks: 122 on GitHub
Total Commits: 194
Committers: 11
Average commits per author: 17.636
Development Distribution Score (DDS): 0.294
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 3 days ago

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