Joshmantova / Eagle-Vision

Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.

Date Created 2021-02-25 (3 years ago)

Commits 148 (last one about a year ago)

Stargazers 57 (0 this week)

Watchers 3 (0 this week)

Forks 39

License unknown

Ranking

RepositoryStats indexes 533,807 repositories, of these Joshmantova/Eagle-Vision is ranked #395,529 (26th percentile) for total stargazers, and #398,671 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #73,243/103,260.

Joshmantova/Eagle-Vision is also tagged with popular topics, for these it's ranked: deep-learning (#6,216/7824), docker (#4,560/5773), python3 (#2,835/3807), neural-network (#856/1029)

Other Information

Joshmantova/Eagle-Vision has Github issues enabled, there is 1 open issue and 1 closed issue.

All Topics

docker python3 resnet-50 deep-learning neural-network streamlit-webapp convolutional-neural-network

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Recent Commit History

44 commits on the default branch (prod) since jan '22

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

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updated: 2024-05-25 @ 10:28pm, id: 342395507 / R_kgDOFGiKcw