Project-AgML / AgML

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Date Created 2021-10-29 (2 years ago)

Commits 892 (last one about a month ago)

Stargazers 160 (0 this week)

Watchers 11 (0 this week)

Forks 25

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these Project-AgML/AgML is ranked #194,410 (63rd percentile) for total stargazers, and #184,042 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #33,872/100,813.

Project-AgML/AgML is also tagged with popular topics, for these it's ranked: deep-learning (#3,753/7720), pytorch (#2,641/5505), computer-vision (#1,267/2768), object-detection (#512/1065), dataset (#392/1037), semantic-segmentation (#209/471), image-classification (#174/360)

Other Information

Project-AgML/AgML has 2 open pull requests on Github, 24 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 18 closed issues.

There have been 22 releases, the latest one was published on 2024-05-01 (about a month ago) with the name AgML 0.6.1.

All Topics

dataset pytorch agriculture deep-learning synthetic-data computer-vision object-detection image-classification semantic-segmentation

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

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

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updated: 2024-05-30 @ 11:11am, id: 422590908 / R_kgDOGTA5vA