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Datasets › BTAD

BTAD (beanTech Anomaly Detection)

Introduced by Pankaj Mishra et al. in VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization20 Apr 2021 archive 2025-07-28

The BTAD ( beanTech Anomaly Detection) dataset is a real-world industrial anomaly dataset. The dataset contains a total of 2830 real-world images of 3 industrial products showcasing body and surface defects.

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 2 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.

First row (archive order)PaperCode
Anomaly Detection BTAD UniNet Detection AUROC 97.73 UniNet: A Contrastive Learning-guided Unified Framework... pangdatangtt/UniNet 15 Compare
Supervised Anomaly Detection BTAD CPR Detection AUROC 98.3 Target before Shooting: Accurate Anomaly Detection and... flyinghu123/cpr 2 Compare

Papers archive 2025-07-28

15 shown of 15 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 61. 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
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection 1 1 28 Feb 2025 not harvested
Unlocking the Potential of Reverse Distillation for Anomaly Detection 1 1 10 Dec 2024 not harvested
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect Classification 1 1 28 May 2024 not harvested
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection 1 1 9 Mar 2024 ran 9 of 10 samples (1 unverified)
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images 1 1 30 Jan 2024 ran 1 of 1 samples (0 unverified)
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection 1 1 9 Jan 2024 not harvested
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 1 2 13 Aug 2023 ran 6 of 11 samples (5 unverified)
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers 0 2 6 Jun 2023 not harvested
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection 1 1 26 May 2023 ran 0 of 1 samples (1 unverified)
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow 0 1 5 Mar 2023 not harvested
Revisiting Reverse Distillation for Anomaly Detection 1 1 1 Jan 2023 not harvested
PNI : Industrial Anomaly Detection using Position and Neighborhood Information 1 1 22 Nov 2022 not harvested
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection 0 1 26 Oct 2022 not harvested
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization 1 1 20 Apr 2021 ran 0 of 12 samples (12 unverified)
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation 3 1 29 Jun 2020 not harvested

Dataset loaders archive 2025-07-28

openvinotoolkit/anomalibpytorch
pankajmishra000/VT-ADLpytorch

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Anomaly DetectionSupervised Anomaly Detection

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BTAD

1 variant name, as the archive lists them.

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