About DagsHub
DagsHub is a platform for managing AI data, experiments and models in one place. It is aimed at data science teams that work with images, audio and text datasets.
What it does
DagsHub lets you connect several data sources, then enrich, query, visualize and annotate multimodal datasets. Experiments can be tracked and compared, and the tracking is compatible with MLflow. Model versions can be managed and deployed, with lineage from each model back to its source data. The platform connects to secure cloud storage and common ML tools, and the vendor offers an on-premise option for enterprises.
Key features
- Curate and annotate vision, audio and text datasets
- Track experiments and compare results
- Manage model versions with lineage to source data
- Connect several data sources in one place
- On-premise deployment with the enterprise plan
Who it's for
DagsHub suits data science teams, applied scientists and ML leads who share data and models. A solo hobbyist with a few files may find the tools more than they need.
Pricing and good to know
The site offers a free start and a demo request for larger teams. Enterprise and on-premise setups are arranged with sales. Annotation work takes time, so plan the labeling workflow before you move large datasets onto the platform.
Highlights
- Curate and annotate vision, audio and text datasets
- Track experiments and compare results
- Manage model versions with lineage to source data
- Connect several data sources in one place
- On-premise deployment with the enterprise plan
