zhaolutuan/AnomalyCoT

Anomaly detection tasks in real-world settings are typically complex and variable, and various types of defects can occur in different products. Therefore, the datasets we construct are required to cover multiple scenarios and defect types of anomaly detection. We initially acquired and sampled from nine publicly available IAD datasets. To further expand the scenarios, we also manually gathered data from four scenarios applicable to IAD tasks to form several independent datasets and eliminated… See the full description on the dataset page: https://huggingface.co/datasets/zhaolutuan/AnomalyCoT.

<iframe src="https://silytics.si/embed/item/8807b0d6-1742-425e-b683-4dc2b0346116" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.