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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jiawei Zhan",
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  "author": "Jiawei Zhan",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "doi": "10.57702/ztyezqrn",
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  "doi": "10.57702/ztyezqrn",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jinxiang Lai",
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      "extra_author": "Jinxiang Lai",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Bin-Bin Gao",
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      "extra_author": "Bin-Bin Gao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jun Liu",
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      "extra_author": "Jun Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Xiaochen Chen",
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      "extra_author": "Xiaochen Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Chengjie Wang",
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      "extra_author": "Chengjie Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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      "description": "",
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      "description": "",
            
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      "display_name": "Anomaly Detection",
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      "display_name": "Anomaly Detection",
            
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      "name": "anomaly-detection",
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      "name": "anomaly-detection",
            
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      "title": "Anomaly Detection"
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      "title": "Anomaly Detection"
            
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    },
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Industrial Image Processing",
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      "name": "industrial-image-processing",
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      "name": "industrial-image-processing",
            
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      "title": "Industrial Image Processing"
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      "title": "Industrial Image Processing"
            
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  "metadata_modified": "2024-12-03T10:20:52.800154",
            
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  "name": 
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  "name": 
            
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-comprehensive-real-world-dataset-for-unsupervised-anomaly-detection",
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-comprehensive-real-world-dataset-for-unsupervised-anomaly-detection",
            
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  "notes": "Anomaly detection, the technique of identifying abnormal 
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  "notes": "Anomaly detection, the technique of identifying abnormal 
            
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samples using only normal samples, has attracted widespread interest 
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samples using only normal samples, has attracted widespread interest 
            
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in industry. Existing one-model-per-category methods often struggle 
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in industry. Existing one-model-per-category methods often struggle 
            
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with limited generalization capabilities due to their focus on a 
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with limited generalization capabilities due to their focus on a 
            
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single category, and can fail when encountering variations in product. 
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single category, and can fail when encountering variations in product. 
            
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Recent feature reconstruction methods, as representatives in 
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Recent feature reconstruction methods, as representatives in 
            
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one-model\u2013all-categories schemes, face challenges including 
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one-model\u2013all-categories schemes, face challenges including 
            
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reconstructing anomalous samples and blurry reconstructions.",
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reconstructing anomalous samples and blurry reconstructions.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "id": "dcaea43d-afd4-4189-a1bc-75983cbb50f1",
            
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  "tags": [
            
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      "display_name": "Anomaly detection",
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      "display_name": "Anomaly detection",
            
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      "name": "Anomaly detection",
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      "display_name": "Industrial image processing",
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      "display_name": "Industrial image processing",
            
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      "name": "Industrial image processing",
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      "name": "Industrial image processing",
            
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      "display_name": "Real-world dataset",
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      "id": "ea010c7d-90b7-4cb9-a032-ec248aa7398b",
            
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      "name": "Real-world dataset",
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    }
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    }
            
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  ],
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  ],
            
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  "title": "MVTec-AD\u2013A comprehensive real-world dataset for 
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  "title": "MVTec-AD\u2013A comprehensive real-world dataset for 
            
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unsupervised anomaly detection",
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unsupervised anomaly detection",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}