All FathomNet Resources

A more advanced way to work with media is connecting the FathomNet Portal to cloud or remote storage outside of the Portal. While the...

Portal supports generating datasets in formats popular with the AI community such as YOLO formats for Detection and Classification. This...

This tutorial focuses on leveraging Python and a custom utility to streamline the process of handling large files for Ocean Exploration and Video Work.

Analysis can be run on these medias without uploading and hosting on the portal, and the results exported. If you have your own hosting,...

Portal is an ideal location for users wishing to curate, and stage their data for other systems, including the FathomNet database....

Assembling an export from the portal starts with marking the items you wish to export. Marked items are either a still image, or a...

Portal algorithms can follow objects through time and generating annotations for a given object. The Observation Timeline allows for...

It is important to constrain labels so spelling mistakes, or capitalization differences don't create messy data. To achieve this, Portal...

The observations gallery allows verification and classification to be done upon many observations at once which can speed the process of...

Formatted sensor data can be imported and synced to media on a frame-by-frame basis. Go to an individual media's Related data tab to...

The algorithms in portal are listed in more detail in the Algorithm Library. This page aims to give an overview of where to launch...

Curating annotations is key to building supervised computer vision models, but it’s not without challenges.

The FathomNet Models are hosted on Hugging Face, a platform widely used by the machine learning community for sharing models, datasets, and applications.

FathomNet provides fathomnet-py, a Python client-side API to help scientists, researchers, and developers interact with FathomNet Database data.

Follow our step-by-step guide to submit localized image annotations today!