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 58 (0 this week)

Watchers 3 (0 this week)

Forks 36

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these Joshmantova/Eagle-Vision is ranked #421,548 (28th percentile) for total stargazers, and #424,515 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,206/117,584.

Joshmantova/Eagle-Vision is also tagged with popular topics, for these it's ranked: deep-learning (#6,564/8438), docker (#4,841/6246), python3 (#3,015/4119), neural-network (#901/1099)

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: 2024-12-03 @ 04:38am, id: 342395507 / R_kgDOFGiKcw