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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Haowen Wang",
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  "author": "Haowen Wang",
            
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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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    "https://doi.org/10.48550/arXiv.2407.13842",
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    "https://doi.org/10.48550/arXiv.2407.13842",
            
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    "https://doi.org/10.48550/arXiv.2407.15771"
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2312.03345",
            
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  "doi": "10.57702/pb6ec1hm",
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  "doi": "10.57702/pb6ec1hm",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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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": "Wanhao Niu",
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      "extra_author": "Wanhao Niu",
            
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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": "Chungang Zhuang",
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      "extra_author": "Chungang Zhuang",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "object-grasping",
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      "name": "object-grasping",
            
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      "title": "Object Grasping"
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      "title": "Object Grasping"
            
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  "metadata_modified": "2024-12-02T21:43:13.572132",
            
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  "name": "graspnet-1billion",
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  "name": "graspnet-1billion",
            
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  "notes": "GraspNet-1Billion is a large-scale real-world grasping 
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  "notes": "GraspNet-1Billion is a large-scale real-world grasping 
            
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dataset containing 190 cluttered grasping scenes and 97,280 RGB-D 
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dataset containing 190 cluttered grasping scenes and 97,280 RGB-D 
            
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images captured by 2 kinds of RGB-D cameras from 256 different 
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images captured by 2 kinds of RGB-D cameras from 256 different 
            
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views.",
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  "title": "GraspNet-1Billion",
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  "title": "GraspNet-1Billion",
            
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  "version": ""
            
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}
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}