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Visual Anomaly (VisA)

amazon.science anomaly detection classification fewshot industrial segmentation

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

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/

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