[BMVC2025] An Exploratory Study on Abstract Images and Visual Representations Learned from Them
HAID (Hierarchical Abstraction Image Dataset) is a collection of SVG images generated from existing raster datasets at multiple levels of abstraction (controlled by the number of geometric primitives). HAID is designed to enable systematic study of how abstraction and vectorized representations affect learned visual features and downstream vision tasks.
Highlights… See the full description on the dataset page: https://huggingface.co/datasets/Froink/HAID_zipped.
