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abnoromal_detection
oshita-n/abnoromal_detection
abnoromal_detection is a machine learning model from oshita-n. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
The dataset was obtained from The code uses bottle. https://www.mvtec.com/company/research/datasets/mvtec-ad
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Updated Feb 24, 2023
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At a glance
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 24, 2023
- SHA
- 34096a83
Model card
From the Hugging Face model README
The dataset was obtained from The code uses bottle.
https://www.mvtec.com/company/research/datasets/mvtec-ad
- train.py is the code that creates the model.
- generate_image.py is the code to generate a normal image from an abnormal image.
- predict.py is the code that generates the heatmap image of the anomalous area.
The bottle dataset should be placed on the same level as the code.
sample image
- Created
- Feb 14, 2023
- Updated
- Feb 24, 2023