mlsanityData to 14 Oct 2026

BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography

arXiv 1704.08614 ↗First posted 27 Apr 2017cs.CVcited by 43

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Abstract (arXiv)

Computer vision systems are designed to work well within the context of everyday photography. However, artists often render the world around them in ways that do not resemble photographs. Artwork produced by people is not constrained to mimic the physical world, making it more challenging for machines to recognize. This work is a step toward teaching machines how to categorize images in ways that are valuable to humans. First, we collect a large-scale dataset of contemporary artwork from Behance, a website containing millions of portfolios from professional and commercial artists. We annotate Behance imagery with rich attribute labels for content, emotions, and artistic media. Furthermore, we carry out baseline experiments to show the value of this dataset for artistic style prediction, for improving the generality of existing object classifiers, and for the study of visual domain adaptation. We believe our Behance Artistic Media dataset will be a good starting point for researchers wishing to study artistic imagery and relevant problems.

Key facts. Cited by 43 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Apr 2017.

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Citing papers per year: 2021: 12; 2022: 5; 2023: 10; 2024: 6; 2025: 5; 2026: 5.

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  1. 2024Measuring Style Similarity in Diffusion Modelscited by 109
  2. 2021ArtEmis: Affective Language for Visual Artcited by 104
  3. 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenescited by 68
  4. 2022The ArtBench Dataset: Benchmarking Generative Models with Artworkscited by 64
  5. 2022ArtFID: Quantitative Evaluation of Neural Style Transfercited by 49
  6. 2023Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Methodcited by 49
  7. 2022The Met Dataset: Instance-level Recognition for Artworkscited by 40
  8. 2021Fighting deepfakes by detecting GAN DCT anomaliescited by 39
  9. 2021ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similaritycited by 34
  10. 2021Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstructioncited by 33
  11. 2021Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generationcited by 30
  12. 2021De-rendering Stylized Textscited by 24
31 more
  1. 2023Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysiscited by 18
  2. 2024ProMark: Proactive Diffusion Watermarking for Causal Attributioncited by 17
  3. 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understandingcited by 16
  4. 2025LAPIS: A novel dataset for personalized image aesthetic assessmentcited by 16
  5. 2021Improving Object Detection in Art Images Using Only Style Transfercited by 15
  6. 2022StyleBabel: Artistic Style Tagging and Captioningcited by 12
  7. 2022Universal Deep Image Compression via Content-Adaptive Optimization with Adapterscited by 11
  8. 2023Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compressioncited by 10
  9. 2021Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintingscited by 9
  10. 2023Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art Historycited by 6
  11. 2023PARASOL: Parametric Style Control for Diffusion Image Synthesiscited by 5
  12. 2025SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Modelscited by 5
  13. 2024Evaluation in Neural Style Transfer: A Reviewcited by 4
  14. 2023Paint it Black: Generating paintings from text descriptionscited by 3
  15. 2023ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfercited by 3
  16. 2024BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessmentcited by 3
  17. 2021Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Stylescited by 2
  18. 2021Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Votingcited by 2
  19. 2021Gaud'i: Conversational Interactions with Deep Representations to Generate Image Collectionscited by 2
  20. 2025Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) datasetcited by 2
  21. 2026VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddingscited by 2
  22. 2023Self-supervised Multi-view Disentanglement for Expansion of Visual Collectionscited by 1
  23. 2023SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factorycited by 1
  24. 2024Domain Adaptation for Learned Image Compression with Supervised Adapterscited by 1
  25. 2025Leveraging Diffusion Models for Stylization using Multiple Style Imagescited by 1
  26. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  27. 2021Cleaning and Structuring the Label Space of the iMet Collection 2020cited by 0
  28. 2026ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effectscited by 0
  29. 2026Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichmentcited by 0
  30. 2026Multi-Modal Guided Multi-Source Domain Adaptation for Object Detectioncited by 0
  31. 2026Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Artcited by 0