This dataset contains 581 images of various shellfish classes for object detection. These images are derived from the Open Images open source computer vision datasets.
This dataset only scratches the surface of the Open Images dataset for shellfish!
- Train object detector to differentiate between a lobster, shrimp, and crab.
- Train object dector to differentiate between shellfish
- Object detection dataset across different sub-species
- Object detection among related species
- Test object detector on highly related objects
- Train shellfish detector
- Explore the quality and range of Open Image dataset
Tools Used to Derive Dataset
These images were gathered via the OIDv4 Toolkit This toolkit allows you to pick an object class and retrieve a set number of images from that class with bound box lables.
We provide this dataset as an example of the ability to query the OID for a given subdomain. This dataset can easily be scaled up - please reach out to us if that interests you.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Find utilities and guides to help you start using the Shellfish-OpenImages project in your project.