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{
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{
            
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  "author": "Schlagenhauf, Tobias",
2
  "author": "Schlagenhauf, Tobias",
            
3
  "author_email": "",
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  "author_email": "",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.35097/1511",
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  "doi": "10.35097/1511",
            
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  "doi_date_published": "2023",
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  "doi_date_published": "2023",
            
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  "doi_publisher": "",
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  "doi_publisher": "",
            
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  "doi_status": "True",
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  "doi_status": "True",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "9d388fab-8ed3-4c04-902d-a0a1e816bb73",
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  "id": "9d388fab-8ed3-4c04-902d-a0a1e816bb73",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC BY-NC 4.0 Attribution-NonCommercial",
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  "license_id": "CC BY-NC 4.0 Attribution-NonCommercial",
            
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  "license_title": "CC BY-NC 4.0 Attribution-NonCommercial",
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  "license_title": "CC BY-NC 4.0 Attribution-NonCommercial",
            
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  "metadata_created": "2023-08-04T08:50:57.179553",
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  "metadata_created": "2023-08-04T08:50:57.179553",
            
t
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  "metadata_modified": "2023-08-04T08:52:08.036138",
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  "metadata_modified": "2023-08-04T08:53:41.386784",
            
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  "name": "rdr-doi-10-35097-1511",
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  "name": "rdr-doi-10-35097-1511",
            
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  "notes": "Abstract: The dataset contains of 21835 150x150 Pixel RGB 
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  "notes": "Abstract: The dataset contains of 21835 150x150 Pixel RGB 
            
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images of the surface of Ball Screw Drives. 11075 of these images are 
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images of the surface of Ball Screw Drives. 11075 of these images are 
            
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images without surface defects whereas the rest shows images with 
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images without surface defects whereas the rest shows images with 
            
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surface defects in form of so called pittings. So the dataset is 
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surface defects in form of so called pittings. So the dataset is 
            
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evenly split over the classes. Pittings result from surface disruption 
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evenly split over the classes. Pittings result from surface disruption 
            
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and can ultimately lead to the breakdown of the component. To keep the 
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and can ultimately lead to the breakdown of the component. To keep the 
            
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availability of machines high it is important to find surface defects 
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availability of machines high it is important to find surface defects 
            
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in time. The here presented dataset gives researchers and 
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in time. The here presented dataset gives researchers and 
            
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practitioners the possibility to train and test models for the 
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practitioners the possibility to train and test models for the 
            
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classification of surface defects on machine tool 
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classification of surface defects on machine tool 
            
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elements.\r\nTechnicalRemarks: Images including *_ in the name are 
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elements.\r\nTechnicalRemarks: Images including *_ in the name are 
            
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rotated by 90\u00b0. This originates from the process of image 
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rotated by 90\u00b0. This originates from the process of image 
            
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acquisition and does not harm the quality of the dataset but can be 
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acquisition and does not harm the quality of the dataset but can be 
            
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seen as a data augmentation technique. This can be 
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seen as a data augmentation technique. This can be 
            
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reversed.\r\n\r\nImages with \"N\" in the file name are images without 
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reversed.\r\n\r\nImages with \"N\" in the file name are images without 
            
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defect whereas images with \"P\" in the file name are images showing 
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defect whereas images with \"P\" in the file name are images showing 
            
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Pittings.",
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Pittings.",
            
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  "num_resources": 0,
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  "num_resources": 0,
            
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  "num_tags": 6,
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  "num_tags": 6,
            
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  "orcid": "",
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  "orcid": "",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-01-12T13:30:23.238233",
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    "created": "2023-01-12T13:30:23.238233",
            
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    "description": "RADAR (Research Data Repository) is a 
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    "description": "RADAR (Research Data Repository) is a 
            
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cross-disciplinary repository for archiving and publishing research 
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cross-disciplinary repository for archiving and publishing research 
            
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data from completed scientific studies and projects. The focus is on 
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data from completed scientific studies and projects. The focus is on 
            
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research data from subjects that do not yet have their own 
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research data from subjects that do not yet have their own 
            
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discipline-specific infrastructures for research data management. ",
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discipline-specific infrastructures for research data management. ",
            
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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    "image_url": "radar-logo.svg",
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    "image_url": "radar-logo.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "radar",
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    "name": "radar",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "RADAR",
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    "title": "RADAR",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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  "private": false,
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  "private": false,
            
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  "production_year": "2021",
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  "production_year": "2021",
            
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  "publication_year": "2023",
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  "publication_year": "2023",
            
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  "publishers": [
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  "publishers": [
            
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    {
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    {
            
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      "publisher": "Karlsruhe Institute of Technology"
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      "publisher": "Karlsruhe Institute of Technology"
            
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    }
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    }
            
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  ],
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  ],
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "repository_name": "RADAR (Research Data Repository)",
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  "repository_name": "RADAR (Research Data Repository)",
            
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  "resources": [],
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  "resources": [],
            
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  "services_used_list": "",
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  "services_used_list": "",
            
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  "source_metadata_created": "2023",
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  "source_metadata_created": "2023",
            
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  "source_metadata_modified": "",
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  "source_metadata_modified": "",
            
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  "state": "active",
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  "state": "active",
            
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  "subject_areas": [
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  "subject_areas": [
            
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    {
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    {
            
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      "subject_area_additional": "",
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      "subject_area_additional": "",
            
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      "subject_area_name": "Engineering"
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      "subject_area_name": "Engineering"
            
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    }
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    }
            
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  ],
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  ],
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Classification",
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      "display_name": "Classification",
            
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      "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455",
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      "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455",
            
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      "name": "Classification",
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      "name": "Classification",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Condition Monitoring",
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      "display_name": "Condition Monitoring",
            
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      "id": "5f393dcf-13da-49e7-829c-07e281a5a3bc",
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      "id": "5f393dcf-13da-49e7-829c-07e281a5a3bc",
            
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      "name": "Condition Monitoring",
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      "name": "Condition Monitoring",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Dataset",
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      "display_name": "Dataset",
            
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      "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b",
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      "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b",
            
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      "name": "Dataset",
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      "name": "Dataset",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Machine Learning",
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      "display_name": "Machine Learning",
            
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      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
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      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
            
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      "name": "Machine Learning",
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      "name": "Machine Learning",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Mechanical Engineering",
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      "display_name": "Mechanical Engineering",
            
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      "id": "a29213af-7e8c-4c3e-b75d-2434c7dbedf3",
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      "id": "a29213af-7e8c-4c3e-b75d-2434c7dbedf3",
            
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      "name": "Mechanical Engineering",
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      "name": "Mechanical Engineering",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Surface Inspection",
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      "display_name": "Surface Inspection",
            
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      "id": "35f28b17-2bcd-4f4f-91bc-07b9a7163e44",
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      "id": "35f28b17-2bcd-4f4f-91bc-07b9a7163e44",
            
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      "name": "Surface Inspection",
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      "name": "Surface Inspection",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Ball screw drive surface defect dataset for 
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  "title": "Ball screw drive surface defect dataset for 
            
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classification",
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classification",
            
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  "type": "vdataset",
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  "type": "vdataset",
            
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  "url": "https://doi.org/10.35097/1511"
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  "url": "https://doi.org/10.35097/1511"
            
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}
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}