DagsHub

The product is a platform for curating and annotating multimodal datasets, tracking experiments, and managing model versions and deployment. It addresses managing petabytes of vision, audio, and LLM data, versioning data and models, and comparing experiment results to create datasets for model improvement. It is for developers and data teams including data scientists and machine learning engineers in businesses building AI applications. It is delivered as a SaaS platform with open-source components and options for cloud hosting or on-premise/VPC air-gapped installation.

Key features

• Query and visualize multimodal datasets
• Annotate multimodal datasets
• Multimodal annotation and auto-labeling
• Track experiment progress
• Compare experiment results
• MLflow compatible experiment tracking
• Manage model versions
• Deploy models to production
• Model lineage to source data
• Data versioning and lineage
• Notebook versioning and diffing
• Interactive pipelines
• CI/CD/CT integration
• Connect your own storage
• Label Studio compatible
• Team RBAC and SSO
• Petabyte-scale data management
• VPC and air-gapped on-premise deployment