Bird Detection is an advanced bird classification platform that harnesses the power of Machine Learning models, complemented by data fetched from third-party APIs such as eBird, Imgur, and Google Maps.
- Image Uploader: Integrated with Imgur to seamlessly host and retrieve images.
- Bird Classification: Predict the bird species from uploaded images.
- Bird Metadata: Fetch detailed metadata of specific bird species.
- External Information: Integrated with eBird for enriched species information.
- All Species List: Retrieve a comprehensive list of all bird species in the database.
- Add New Species: Easily add new bird species data to the database.
- Observation Data: Get recent notable observations from specific areas and nearest sightings of a bird species.
- Clone the repository: git clone https://github.com/anubhavelhence/BirdDetection.git
- Navigate to the project directory:
- Install the required dependencies:
- Run the application:
Detailed API documentation is available here.
- GET
/
: HomePage - POST
/ImgurImageUpload
: Upload an image to Imgur - POST
/PredictSpeciesofBird
: Predict bird species from an image
Pull requests are welcome! For major changes, please open an issue first to discuss the proposed changes. Ensure that your PRs are well-documented.
This project is licensed under the MIT License. See the LICENSE file for more information.