datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ArtiFact
ArtiFact
ArtiFact is a large-scale multimodal benchmark of museum artwork records with aligned images and structured metadata. It is designed for evaluating metadata extraction, error detection, semantic querying, and multimodal reasoning over cultural-heritage collections.
The dataset combines records from the Rijksmuseum, the Metropolitan Museum of Art (Met), and the Art Institute of Chicago (AIC), with normalized fields for artists, dates, materials, techniques, dimensions… See the full description on the dataset page: https://huggingface.co/datasets/deem-data/ArtiFact.DR_Artifacts
DDR-Augmented-Artifacts
Dataset Summary
DDR-Augmented-Artifacts provides fundus images augmented with realistic synthetic artifacts.Artifacts were cropped from anonymized retina images showing reflections from blood vessels, segmented, and overlaid on DDR images using Gaussian feathered masks and Poisson blending.
Example
Below is a sample visualization of how the dataset looks:
Original DDR Image
Augmented with Artifact
Code… See the full description on the dataset page: https://huggingface.co/datasets/Lelihu/DR_Artifacts.