AI species identification
Upload an underwater photo. Get a species ID with a confidence score. Formal identification takes 13.5 years per species today. Our models train on FathomNet's 100K+ labeled images. They hit 95-98% accuracy on known species. Unrecognized finds get flagged for human review.
Download and explore FathomNet's 100K+ labeled images and VIAME datasets. Assess taxonomy coverage, image quality, and gaps. This is the foundation everything else trains on.
Fine-tune a classification model on FathomNet imagery. Target 95%+ accuracy on known species. Anomaly detection flags unknowns for human review.
Build the upload-and-identify interface at app.theunfathomed.org. Drag in a photo, get a species ID with confidence score and location context.
Open the platform to researchers, divers, and citizen scientists. Real-world testing across diverse ocean environments proves accuracy.
We need labeled underwater imagery, code contributions on GitHub, and marine biologists for taxonomist review.