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Datasets:
linglingling009
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ADNet

Tasks:
Image Classification
Object Detection
Image Segmentation
Modalities:
Image
Languages:
English
Tags:
anomaly-detection
industrial-inspection
academic-only
License:
Dataset card Data Studio Files
xet
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ADNet

Access & Licensing

ADNet is released for ACADEMIC RESEARCH PURPOSES ONLY.

The dataset is protected under the CC-BY-NC 4.0 License (Attribution-NonCommercial 4.0 International). Commercial use is strictly prohibited.

To access the dataset, you must apply with your institutional email address (e.g., .edu, .ac.cn).

  • Requests from personal emails (e.g., Gmail, Outlook) or commercial domains may be rejected.
  • Please clearly state your university/institution and the intended research use in the application form.

Note: We review requests manually. Please allow 1-2 working days for approval.

🔍 Dataset Description

ADNet provides a challenging benchmark for industrial anomaly detection and localization. It covers various object categories with high-resolution images, designed to evaluate the robustness of anomaly detection algorithms in real-world manufacturing scenarios.

  • Categories: Multiple industrial objects (e.g., metal parts, textures, electronics).
  • Tasks: Image-level Anomaly Detection, Pixel-level Anomaly Localization.
  • Format: The dataset is distributed as category-wise .zip archives.
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