Codesota · Industrial Inspection · Anomaly Detection · VisATasks/Industrial Inspection/Anomaly Detection
Anomaly Detection · benchmark dataset · 2022 · EN

Visual Anomaly Dataset.

10,821 high-resolution images across 12 objects with complex structures. More challenging than MVTec with realistic industrial scenarios.

Paper ↗Download datasetSubmit a result ↵
§ 01 · Leaderboard

Best published scores.

3 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
auroc · higher is better
auroc· primary
3 rows
#ModelOrgSubmittedPaper / codeauroc
01SimpleNetOSSResearchDec 2025research-paper95.50
02EfficientADOSSResearchDec 2025research-paper94.80
03PatchCoreOSSAmazonDec 2025research-paper92.10
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on auroc. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · auroc
  1. Dec 19, 2025SimpleNetResearch95.50
Fig 3 · SOTA-setting models only. 1 entries span Dec 2025 → Dec 2025.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies
VisA — Anomaly Detection benchmark · Codesota | CodeSOTA