contempArt ECCV 2020: Pre-computed Embeddings and Analysis Artifacts

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Nikolai Huckle, Nick Garcia, Yuta Nakashima
DOI: 10.5281/zenodo.19365429
Cited by: 1

Abstract

14,398 paintings and drawings by 441 early-career artists from 15 German art schools, with demographic metadata (school, gender, nationality, professor class), Instagram engagement data, and a directed follower graph covering 247,087 accounts. Collected between 2018 and 2020. Non-artist Instagram handles are anonymized (SHA-256 hashed). Introduced in: Huckle, Garcia & Nakashima (2020), ECCV Workshop on Computer Vision for Fashion, Art and Design. GitHub: https://github.com/georgeblck/contempart

Fields of Study & Subjects

Business Process Modeling and Analysis Service-Oriented Architecture and Web Services Semantic Web and Ontologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 April 2026
Language
EN
Document type
Dataset