Dagshub is a platform for curating and annotating vision, audio, and LLM datasets, tracking machine learning experiments, and managing models in one place.
Dagshub is a collaborative platform for managing the full lifecycle of machine learning projects, with a particular focus on data-centric workflows. It provides integrated tools for curating, annotating, and versioning datasets for computer vision, audio, and large language models, enabling teams to maintain high-quality, reproducible data pipelines. Users can label images, audio clips, and text data, track dataset changes over time, and link data versions directly to experiments and models.
The platform includes experiment tracking that records hyperparameters, metrics, artifacts, and code versions, allowing teams to compare runs, reproduce results, and audit model performance. Model management features support storing, organizing, and versioning models, as well as associating them with specific datasets and experiments. Dagshub integrates with Git and DVC-like workflows, making it suitable for teams that rely on code and data version control.
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