Datasets › Office-31

Office-31 (Office Dataset)

Introduced in Adapting Visual Category Models to New Domains1 Jan 2010 archive 2025-07-28

The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset consist of objects commonly encountered in office settings, such as keyboards, file cabinets, and laptops. The Amazon domain contains on average 90 images per class and 2817 images in total. As these images were captured from a website of online merchants, they are captured against clean background and at a unified scale. The DSLR domain contains 498 low-noise high resolution images (4288×2848). There are 5 objects per category. Each object was captured from different viewpoints on average 3 times. For Webcam, the 795 images of low resolution (640×480) exhibit significant noise and color as well as white balance artifacts.

Source: Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors Image Source: https://www.researchgate.net/publication/310953258

Benchmarks archive 2025-07-28

All 7 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

30 shown of 65 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 643. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation 2 1 10 Nov 2024 not harvested
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation 1 1 31 Aug 2024 not harvested
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer 1 1 31 Jul 2024 not harvested
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 1 1 19 Apr 2024 not harvested
SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation 1 1 16 Mar 2024 ran 1 of 5 samples (4 unverified; 5 pointer-only for licence)
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation 2 1 6 Mar 2024 ran 9 of 11 samples (2 unverified; 9 pointer-only for licence)
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation 1 1 15 Dec 2023 ran 3 of 4 samples (1 unverified)
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation 1 1 13 Dec 2023 ran 1 of 1 samples (0 unverified)
Gradual Source Domain Expansion for Unsupervised Domain Adaptation 1 1 16 Nov 2023 not harvested
Universal Domain Adaptation via Compressive Attention Matching 0 1 24 Apr 2023 not harvested
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation 0 1 19 Apr 2023 not harvested
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective 0 2 23 Mar 2023 not harvested
Upcycling Models under Domain and Category Shift 3 1 13 Mar 2023 not harvested
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation 1 2 3 Feb 2023 ran 0 of 4 samples (4 unverified)
Free Lunch for Domain Adversarial Training: Environment Label Smoothing 1 1 1 Feb 2023 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier 1 1 1 Jan 2023 not harvested
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment 1 1 1 Jan 2023 not harvested
Unified Optimal Transport Framework for Universal Domain Adaptation 1 1 31 Oct 2022 ran 1 of 3 samples (2 unverified)
Selective Partial Domain Adaptation 2 1 1 Oct 2022 not harvested
Safe Self-Refinement for Transformer-based Domain Adaptation 1 1 16 Apr 2022 ran 9 of 19 samples (10 unverified; 1 pointer-only for licence)
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation 1 1 8 Apr 2022 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
Global-Local Regularization Via Distributional Robustness 1 1 1 Mar 2022 not harvested
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation 0 1 1 Jan 2022 not harvested
UMAD: Universal Model Adaptation under Domain and Category Shift 0 1 16 Dec 2021 not harvested
Contrastive Vicinal Space for Unsupervised Domain Adaptation 1 1 26 Nov 2021 not harvested
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 2 1 13 Sep 2021 ran 1 of 8 samples (7 unverified)
Source Class Selection with Label Propagation for Partial Domain Adaptation 1 1 1 Sep 2021 not harvested
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation 1 1 18 Jun 2021 not harvested
Domain Consensus Clustering for Universal Domain Adaptation 1 2 5 Jun 2021 not harvested
OVANet: One-vs-All Network for Universal Domain Adaptation 2 1 7 Apr 2021 ran 4 of 12 samples (8 unverified)

The full list of 65 is in the JSON twin.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Office-31

1 variant name, as the archive lists them.

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