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.

37
/ 100
Emerging

Eagle Vision helps birdwatchers and nature enthusiasts quickly identify bird species from images. You upload a photo of a bird or choose from existing examples, and the system tells you what kind of bird it is, along with its confidence in the prediction. This is perfect for anyone curious about the birds around them.

No commits in the last 6 months.

Use this if you want to identify a bird species from an image and receive instant predictions with confidence levels and links for more information.

Not ideal if you need to identify birds from images where they are very far away, partially obscured, or not the primary subject.

birdwatching wildlife-identification nature-photography species-recognition field-guide
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 21 / 25

How are scores calculated?

Stars

59

Forks

34

Language

Python

License

Last pushed

Feb 19, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Joshmantova/Eagle-Vision"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.