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Dataset Dashboard

The Dataset Dashboard in the Gesund.ai platform serves as a centralized workspace to manage, explore, and prepare datasets for downstream tasks like annotation, training, or validation. It enables users to access both public and private datasets with an intuitive interface and powerful filters.

1. Dashboard Overview​

  • The Dataset Dashboard supports a CRO-style dataset management workflow, optimized for clinical AI development.
  • All datasets are shown as individual cards or rows, depending on the selected view (grid or list).
  • Datasets are categorized by:
    • Visibility: Public or Private
    • Dataset Type: e.g., Covid, XRay, Malaria, etc.
    • Tags: e.g., Camera, Slide, Ultrasound
    • Versioning: Multiple versions of a dataset are supported (e.g., vv0.1, vv0.2).

2. Dataset Metadata & Display​

Each dataset item displays:

  • Name & Version: Example — mixed-dataset vv0.1
  • Type & Tags: Helps categorize the dataset by application or modality.
  • Visibility: Clearly marked as Public or Private.
  • Created Date and Image Count: Provides dataset size and recency at a glance.

3. Dataset Actions Menu​

Users can manage datasets using the contextual dropdown menu (three-dot icon) on each dataset card or row. Available actions include:

  • Watch / Unwatch: Follow updates or changes to the dataset.
  • Go to Playground: Open the dataset in the viewer to explore its contents.
  • Start Validation: Begin a validation run using this dataset.
  • Archive Dataset: Move the dataset into the archive for long-term storage.
  • Delete Dataset: Permanently remove the dataset from the platform.
  • Download Metadata: Export dataset metadata in .json or .csv format.

4. Search, Filter & View Options​

The dashboard provides several utilities to quickly find and organize datasets:

  • Search Bar: Search by name or keyword across all datasets.
  • Sort Options: Sort by:
    • Last Viewed
    • Date Created
    • Dataset Name
  • View Toggle: Switch between Grid View and List View depending on your preference or use case.

With its rich feature set and streamlined design, the Dataset Dashboard makes it easy for users to manage datasets throughout their AI development lifecycle, from import to validation and archiving.