Name: Visual Anomaly (VisA)
License: https://creativecommons.org/licenses/by/4.0/

Description

Largest Visual Anomaly detection dataset containing objects from 12 classes in 3 domains across 10,821(9,621 normal and 1,200 anomaly) images. Both image and pixel level annotations are provided.

Update Frequency

Not updated

License

https://creativecommons.org/licenses/by/4.0/

Documentation

https://github.com/amazon-research/spot-diff

Managed By

See all datasets managed by Amazon Web Services.

Contact

Post any questions to re:Post and use the AWS Open Data tag.

How to Cite

Visual Anomaly (VisA) was accessed on DATE from https://registry.opendata.aws/visa. Zou, Yang, Jongheon Jeong, Latha Pemula, Dongqing Zhang, and Onkar Dabeer. "SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation." arXiv preprint arXiv:2207.14315 (2022).

Usage Examples

Publications

SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation by Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, and Onkar Dabeer

Resources on AWS

Description

The .tar file for the Visual Anomaly (VisA) dataset

Resource type

S3 Bucket

Amazon Resource Name (ARN)

arn:aws:s3:::amazon-visual-anomaly/VisA_20220922.tar

AWS Region

us-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://amazon-visual-anomaly/VisA_20220922.tar/