|
|
---
|
|
|
license: cc-by-nc-4.0
|
|
|
task_categories:
|
|
|
- image-classification
|
|
|
- object-detection
|
|
|
- image-segmentation
|
|
|
language:
|
|
|
- en
|
|
|
tags:
|
|
|
- anomaly-detection
|
|
|
- industrial-inspection
|
|
|
- academic-only
|
|
|
pretty_name: ADNet
|
|
|
size_categories:
|
|
|
- 10GB-100GB
|
|
|
---
|
|
|
|
|
|
# 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. |
