autodistill / autodistill

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

Date Created 2023-06-06 (12 months ago)

Commits 307 (last one 14 days ago)

Stargazers 1,608 (16 this week)

Watchers 19 (0 this week)

Forks 125

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these autodistill/autodistill is ranked #30,269 (94th percentile) for total stargazers, and #113,321 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #4,524/100,813.

autodistill/autodistill is also tagged with popular topics, for these it's ranked: deep-learning (#855/7720), machine-learning (#882/7264), pytorch (#530/5505), computer-vision (#249/2768), object-detection (#108/1065), image-classification (#41/360), yolov5 (#20/248), instance-segmentation (#15/165)

Other Information

autodistill/autodistill has 8 open pull requests on Github, 53 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 20 open issues and 68 closed issues.

There have been 3 releases, the latest one was published on 2024-02-13 (3 months ago) with the name v0.1.25.

Homepage URL: https://docs.autodistill.com

All Topics

yolov5 yolov8 pytorch multimodal auto-labeling deep-learning labeling-tool grounding-dino computer-vision image-annotation machine-learning object-detection segment-anything foundation-models model-distillation image-classification instance-segmentation

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

307 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

Opengraph Image

updated: 2024-05-31 @ 09:03pm, id: 650318075 / R_kgDOJsMQ-w