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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- computer-vision |
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- anomaly-detection |
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- industrial |
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- defect-detection |
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pretty_name: 'RobustAD: A Realworld Anomaly Detection Dataset for Robustness ' |
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size_categories: |
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- 1K<n<10K |
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--- |
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#About the Dataset |
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RobustAD, specifically designed to evaluate the robustness of anomaly detection models in real-world scenarios. RobustAD features a curated dataset of defect detection images with meticulously controlled distribution shifts across multiple dimensions relevant to practical applications and more closely mirrors real-world deployment scenarios. |
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RobustAD is designed to cover inspection challenges across multiple industries to ensure the diversity of use cases and |
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encourage the development of generalizable methods. It is carefully curated to reflect the complexity of real-world |
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anomaly detection task in terms of both the defect variations and the domain shifts captured in the data. Robus- |
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tAD consists of 3 sub-datasets corresponding to 3 different objects of interest, each with a source domain data for |
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training and multiple target domains with different shifts for testing. |
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The PCB sub-dataset captures the challenges |
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of finding subtle scratches, soldering melts, and missing parts which comprise of the most common defects encoun- |
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tered during inspection of Printed Circuit Boards in electronics and semiconductor manufacturing. The metal parts |
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sub-dataset reflects the challenges of inspecting metal automotive parts with reflective surfaces for possible chipping, |
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dents, or porosity (holes in metal) in the automotive industry. The pile of packets represents a common count-based |
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anomaly detection task performed by packaging machines in the pharmaceutical industry. We believe this broad cov- |
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erage of tasks and anomaly types across important sectors ensures a general model that is relevant for common in- |
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dustry inspection problems and serves as a good starting point. The PCB and metal parts datasets are defined for |
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localization and classification tasks where as piled packets subset is only defined for classification task. |
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#Dataset Card for RobustAD |
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For more details, refer to this paper: COMING SOON! |
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The three sub-datasets and the defects covered in each sub-dataset are listed below |
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#How to Use |
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TBD |
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#License Information |
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The RobustAD dataset is released under the Creative Commons license cc-by-4.0. |
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#Citation Information |
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COMING SOON! |
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#Contact |
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[email protected] (Latha Pemula) | [email protected] (Dongqing Zhang) | [email protected] (Onkar Dabeer) |
