Changes
On December 2, 2024 at 5:52:55 PM UTC,
admin:
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Changed title to nuScenes dataset (previously nuScenes Dataset)
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Set author of nuScenes dataset to Haochen Liu (previously H. Caesar)
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Updated description of nuScenes dataset from
The nuScenes dataset comprises 1,000 video scenes, including RGB images captured by 6 surround-view cameras. The dataset is split into a training set (700 scenes), a validation set (150 scenes), and a test set (150 scenes).
tonuScenes dataset is a widely used benchmark for autonomous driving tasks. It encompasses diverse driving scenarios captured using cameras and LiDAR sensors, offering rich information for both visual and LiDAR-based 3D object detection.
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Removed the following tags from nuScenes dataset
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Added the following tags to nuScenes dataset
- nuScenes dataset
- radar
- computer vision
- real-world driving data
- Occupancy prediction
- radar sensor
- object tracking
- camera
- Computer Vision
- SD maps
- trajectory prediction
- fusion
- nuscenes
- monocular depth estimation
- scene understanding
- Computer vision
- Camera
- depth estimation
- Motion prediction
- 3D object detection
- Semantic Segmentation
- vehicle trajectories
- camera sensor
- surround-view images
- monocular 3D object detection
- 2D Object Detection
- Semantic segmentation
- urban settings
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2210.13488
in nuScenes dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Zhiyu Huang', 'orcid': ''}, {'extra_author': 'Wenhui Huang', 'orcid': ''}, {'extra_author': 'Haohan Yang', 'orcid': ''}, {'extra_author': 'Xiaoyu Mo', 'orcid': ''}, {'extra_author': 'Chen Lv', 'orcid': ''}]
in nuScenes dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2405.09049', 'https://doi.org/10.48550/arXiv.2303.11243', 'https://doi.org/10.48550/arXiv.2306.17000', 'https://doi.org/10.48550/arXiv.2211.14927', 'https://doi.org/10.48550/arXiv.2106.02778', 'https://doi.org/10.48550/arXiv.2407.04926', 'https://doi.org/10.48550/arXiv.2307.11323', 'https://doi.org/10.48550/arXiv.2305.17318', 'https://doi.org/10.48550/arXiv.2201.01976', 'https://doi.org/10.48550/arXiv.2405.10567', 'https://doi.org/10.48550/arXiv.2104.12861', 'https://doi.org/10.48550/arXiv.2309.00709', 'https://doi.org/10.48550/arXiv.2310.15670', 'https://doi.org/10.48550/arXiv.2109.05265', 'https://doi.org/10.48550/arXiv.2111.15615', 'https://doi.org/10.48550/arXiv.2312.12098']
in nuScenes dataset -
Deleted resource Original Metadata from nuScenes dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "H. Caesar", | n | 3 | "author": "Haochen Liu", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
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| n | 12 | "defined_in": "https://doi.org/10.48550/arXiv.2206.09900", | n | 24 | "defined_in": "https://doi.org/10.48550/arXiv.2210.13488", |
| 13 | "doi": "10.57702/e8mwpllw", | 25 | "doi": "10.57702/e8mwpllw", | ||
| 14 | "doi_date_published": "2024-12-02", | 26 | "doi_date_published": "2024-12-02", | ||
| 15 | "doi_publisher": "TIB", | 27 | "doi_publisher": "TIB", | ||
| 16 | "doi_status": true, | 28 | "doi_status": true, | ||
| 17 | "domain": "https://service.tib.eu/ldmservice", | 29 | "domain": "https://service.tib.eu/ldmservice", | ||
| 18 | "extra_authors": [ | 30 | "extra_authors": [ | ||
| 19 | { | 31 | { | ||
| n | 20 | "extra_author": "V. Bankiti", | n | 32 | "extra_author": "Zhiyu Huang", |
| 21 | "orcid": "" | 33 | "orcid": "" | ||
| 22 | }, | 34 | }, | ||
| 23 | { | 35 | { | ||
| n | 24 | "extra_author": "A. H. Lang", | n | 36 | "extra_author": "Wenhui Huang", |
| 25 | "orcid": "" | 37 | "orcid": "" | ||
| 26 | }, | 38 | }, | ||
| 27 | { | 39 | { | ||
| n | 28 | "extra_author": "S. Vora", | n | 40 | "extra_author": "Haohan Yang", |
| 29 | "orcid": "" | 41 | "orcid": "" | ||
| 30 | }, | 42 | }, | ||
| 31 | { | 43 | { | ||
| n | 32 | "extra_author": "V. E. Liong", | n | 44 | "extra_author": "Xiaoyu Mo", |
| 33 | "orcid": "" | 45 | "orcid": "" | ||
| 34 | }, | 46 | }, | ||
| 35 | { | 47 | { | ||
| n | 36 | "extra_author": "Q. Xu", | n | ||
| 37 | "orcid": "" | ||||
| 38 | }, | ||||
| 39 | { | ||||
| 40 | "extra_author": "A. Krishnan", | ||||
| 41 | "orcid": "" | ||||
| 42 | }, | ||||
| 43 | { | ||||
| 44 | "extra_author": "Y. Pan", | 48 | "extra_author": "Chen Lv", | ||
| 45 | "orcid": "" | ||||
| 46 | }, | ||||
| 47 | { | ||||
| 48 | "extra_author": "G. Baldan", | ||||
| 49 | "orcid": "" | ||||
| 50 | }, | ||||
| 51 | { | ||||
| 52 | "extra_author": "O. Beijbom", | ||||
| 53 | "orcid": "" | 49 | "orcid": "" | ||
| 54 | } | 50 | } | ||
| 55 | ], | 51 | ], | ||
| 56 | "groups": [ | 52 | "groups": [ | ||
| 57 | { | 53 | { | ||
| 58 | "description": "", | 54 | "description": "", | ||
| 59 | "display_name": "3D Object Detection", | 55 | "display_name": "3D Object Detection", | ||
| 60 | "id": "b9c5385e-2cc8-4698-95f2-a1528ebb0182", | 56 | "id": "b9c5385e-2cc8-4698-95f2-a1528ebb0182", | ||
| 61 | "image_display_url": "", | 57 | "image_display_url": "", | ||
| 62 | "name": "3d-object-detection", | 58 | "name": "3d-object-detection", | ||
| 63 | "title": "3D Object Detection" | 59 | "title": "3D Object Detection" | ||
| 64 | }, | 60 | }, | ||
| 65 | { | 61 | { | ||
| 66 | "description": "", | 62 | "description": "", | ||
| n | 67 | "display_name": "3D Perception", | n | 63 | "display_name": "3D Semantic Segmentation", |
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| 69 | "image_display_url": "", | 65 | "image_display_url": "", | ||
| n | 70 | "name": "3d-perception", | n | 66 | "name": "3d-semantic-segmentation", |
| 71 | "title": "3D Perception" | 67 | "title": "3D Semantic Segmentation" | ||
| 68 | }, | ||||
| 69 | { | ||||
| 70 | "description": "", | ||||
| 71 | "display_name": "Autonomous Vehicles", | ||||
| 72 | "id": "bd12ae6e-93f3-4bba-b980-043a24582ca6", | ||||
| 73 | "image_display_url": "", | ||||
| 74 | "name": "autonomous-vehicles", | ||||
| 75 | "title": "Autonomous Vehicles" | ||||
| 72 | }, | 76 | }, | ||
| 73 | { | 77 | { | ||
| 74 | "description": "", | 78 | "description": "", | ||
| 75 | "display_name": "Autonomous driving", | 79 | "display_name": "Autonomous driving", | ||
| 76 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | 80 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | ||
| 77 | "image_display_url": "", | 81 | "image_display_url": "", | ||
| 78 | "name": "autonomous-driving", | 82 | "name": "autonomous-driving", | ||
| 79 | "title": "Autonomous driving" | 83 | "title": "Autonomous driving" | ||
| 80 | }, | 84 | }, | ||
| 81 | { | 85 | { | ||
| 82 | "description": "", | 86 | "description": "", | ||
| 83 | "display_name": "Computer Vision", | 87 | "display_name": "Computer Vision", | ||
| 84 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 88 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
| 85 | "image_display_url": "", | 89 | "image_display_url": "", | ||
| 86 | "name": "computer-vision", | 90 | "name": "computer-vision", | ||
| 87 | "title": "Computer Vision" | 91 | "title": "Computer Vision" | ||
| 88 | }, | 92 | }, | ||
| 89 | { | 93 | { | ||
| 90 | "description": "", | 94 | "description": "", | ||
| n | n | 95 | "display_name": "LiDAR", | ||
| 96 | "id": "21b244d0-3776-4410-b7aa-bec20370ebbd", | ||||
| 97 | "image_display_url": "", | ||||
| 98 | "name": "lidar", | ||||
| 99 | "title": "LiDAR" | ||||
| 100 | }, | ||||
| 101 | { | ||||
| 102 | "description": "", | ||||
| 103 | "display_name": "Monocular 3D Object Detection", | ||||
| 104 | "id": "061895da-3e7a-4b43-9ef2-d57dedb28598", | ||||
| 105 | "image_display_url": "", | ||||
| 106 | "name": "monocular-3d-object-detection", | ||||
| 107 | "title": "Monocular 3D Object Detection" | ||||
| 108 | }, | ||||
| 109 | { | ||||
| 110 | "description": "", | ||||
| 91 | "display_name": "Object Detection", | 111 | "display_name": "Object Detection", | ||
| 92 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 112 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
| 93 | "image_display_url": "", | 113 | "image_display_url": "", | ||
| 94 | "name": "object-detection", | 114 | "name": "object-detection", | ||
| 95 | "title": "Object Detection" | 115 | "title": "Object Detection" | ||
| 96 | }, | 116 | }, | ||
| 97 | { | 117 | { | ||
| 98 | "description": "", | 118 | "description": "", | ||
| n | n | 119 | "display_name": "Object Tracking", | ||
| 120 | "id": "577db78f-d07c-4c38-9164-447a9293e730", | ||||
| 121 | "image_display_url": "", | ||||
| 122 | "name": "object-tracking", | ||||
| 123 | "title": "Object Tracking" | ||||
| 124 | }, | ||||
| 125 | { | ||||
| 126 | "description": "", | ||||
| 99 | "display_name": "Scene Understanding", | 127 | "display_name": "Scene Understanding", | ||
| 100 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | 128 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||
| 101 | "image_display_url": "", | 129 | "image_display_url": "", | ||
| 102 | "name": "scene-understanding", | 130 | "name": "scene-understanding", | ||
| 103 | "title": "Scene Understanding" | 131 | "title": "Scene Understanding" | ||
| n | n | 132 | }, | ||
| 133 | { | ||||
| 134 | "description": "", | ||||
| 135 | "display_name": "Segmentation", | ||||
| 136 | "id": "547aeba4-a5c9-4b8d-90a5-d07359437b2d", | ||||
| 137 | "image_display_url": "", | ||||
| 138 | "name": "segmentation", | ||||
| 139 | "title": "Segmentation" | ||||
| 140 | }, | ||||
| 141 | { | ||||
| 142 | "description": "", | ||||
| 143 | "display_name": "Traffic Simulation", | ||||
| 144 | "id": "ce287d7f-8d0d-4dba-b652-01970c041b5d", | ||||
| 145 | "image_display_url": "", | ||||
| 146 | "name": "traffic-simulation", | ||||
| 147 | "title": "Traffic Simulation" | ||||
| 104 | }, | 148 | }, | ||
| 105 | { | 149 | { | ||
| 106 | "description": "", | 150 | "description": "", | ||
| 107 | "display_name": "Trajectory Prediction", | 151 | "display_name": "Trajectory Prediction", | ||
| 108 | "id": "c7281c5e-5378-4760-81a6-a583369aa288", | 152 | "id": "c7281c5e-5378-4760-81a6-a583369aa288", | ||
| 109 | "image_display_url": "", | 153 | "image_display_url": "", | ||
| 110 | "name": "trajectory-prediction", | 154 | "name": "trajectory-prediction", | ||
| 111 | "title": "Trajectory Prediction" | 155 | "title": "Trajectory Prediction" | ||
| 112 | } | 156 | } | ||
| 113 | ], | 157 | ], | ||
| 114 | "id": "797a5c11-ff87-4d0d-b827-97da2d962dc6", | 158 | "id": "797a5c11-ff87-4d0d-b827-97da2d962dc6", | ||
| 115 | "isopen": false, | 159 | "isopen": false, | ||
| 116 | "landing_page": "https://www.nuscenes.org/", | 160 | "landing_page": "https://www.nuscenes.org/", | ||
| 117 | "license_title": null, | 161 | "license_title": null, | ||
| 118 | "link_orkg": "", | 162 | "link_orkg": "", | ||
| 119 | "metadata_created": "2024-12-02T17:46:08.234512", | 163 | "metadata_created": "2024-12-02T17:46:08.234512", | ||
| n | 120 | "metadata_modified": "2024-12-02T17:46:08.620006", | n | 164 | "metadata_modified": "2024-12-02T17:52:54.890938", |
| 121 | "name": "nuscenes-dataset", | 165 | "name": "nuscenes-dataset", | ||
| n | 122 | "notes": "The nuScenes dataset comprises 1,000 video scenes, | n | 166 | "notes": "nuScenes dataset is a widely used benchmark for autonomous |
| 123 | including RGB images captured by 6 surround-view cameras. The dataset | 167 | driving tasks. It encompasses diverse driving scenarios captured using | ||
| 124 | is split into a training set (700 scenes), a validation set (150 | 168 | cameras and LiDAR sensors, offering rich information for both visual | ||
| 125 | scenes), and a test set (150 scenes).", | 169 | and LiDAR-based 3D object detection.", | ||
| 126 | "num_resources": 1, | 170 | "num_resources": 0, | ||
| 127 | "num_tags": 15, | 171 | "num_tags": 37, | ||
| 128 | "organization": { | 172 | "organization": { | ||
| 129 | "approval_status": "approved", | 173 | "approval_status": "approved", | ||
| 130 | "created": "2024-11-25T12:11:38.292601", | 174 | "created": "2024-11-25T12:11:38.292601", | ||
| 131 | "description": "", | 175 | "description": "", | ||
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| 133 | "image_url": "", | 177 | "image_url": "", | ||
| 134 | "is_organization": true, | 178 | "is_organization": true, | ||
| 135 | "name": "no-organization", | 179 | "name": "no-organization", | ||
| 136 | "state": "active", | 180 | "state": "active", | ||
| 137 | "title": "No Organization", | 181 | "title": "No Organization", | ||
| 138 | "type": "organization" | 182 | "type": "organization" | ||
| 139 | }, | 183 | }, | ||
| 140 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 184 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 141 | "private": false, | 185 | "private": false, | ||
| 142 | "relationships_as_object": [], | 186 | "relationships_as_object": [], | ||
| 143 | "relationships_as_subject": [], | 187 | "relationships_as_subject": [], | ||
| n | 144 | "resources": [ | n | 188 | "resources": [], |
| 145 | { | ||||
| 146 | "cache_last_updated": null, | ||||
| 147 | "cache_url": null, | ||||
| 148 | "created": "2024-12-02T18:38:42", | ||||
| 149 | "data": [ | ||||
| 150 | "dcterms:title", | ||||
| 151 | "dcterms:accessRights", | ||||
| 152 | "dcterms:creator", | ||||
| 153 | "dcterms:description", | ||||
| 154 | "dcterms:issued", | ||||
| 155 | "dcterms:language", | ||||
| 156 | "dcterms:identifier", | ||||
| 157 | "dcat:theme", | ||||
| 158 | "dcterms:type", | ||||
| 159 | "dcat:keyword", | ||||
| 160 | "dcat:landingPage", | ||||
| 161 | "dcterms:hasVersion", | ||||
| 162 | "dcterms:format", | ||||
| 163 | "mls:task", | ||||
| 164 | "datacite:isDescribedBy" | ||||
| 165 | ], | ||||
| 166 | "description": "The json representation of the dataset with its | ||||
| 167 | distributions based on DCAT.", | ||||
| 168 | "format": "JSON", | ||||
| 169 | "hash": "", | ||||
| 170 | "id": "74d1a645-9e42-4875-a10e-a77189222fe4", | ||||
| 171 | "last_modified": "2024-12-02T17:46:08.610612", | ||||
| 172 | "metadata_modified": "2024-12-02T17:46:08.622820", | ||||
| 173 | "mimetype": "application/json", | ||||
| 174 | "mimetype_inner": null, | ||||
| 175 | "name": "Original Metadata", | ||||
| 176 | "package_id": "797a5c11-ff87-4d0d-b827-97da2d962dc6", | ||||
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| 182 | resource/74d1a645-9e42-4875-a10e-a77189222fe4/download/metadata.json", | ||||
| 183 | "url_type": "upload" | ||||
| 184 | } | ||||
| 185 | ], | ||||
| 186 | "services_used_list": "", | 189 | "services_used_list": "", | ||
| 187 | "state": "active", | 190 | "state": "active", | ||
| 188 | "tags": [ | 191 | "tags": [ | ||
| 189 | { | 192 | { | ||
| n | n | 193 | "display_name": "2D Object Detection", | ||
| 194 | "id": "03c98c09-1d8a-49a2-8d44-29f21c450bc4", | ||||
| 195 | "name": "2D Object Detection", | ||||
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| 199 | { | ||||
| 190 | "display_name": "3D Object Detection", | 200 | "display_name": "3D Object Detection", | ||
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| 192 | "name": "3D Object Detection", | 202 | "name": "3D Object Detection", | ||
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| 194 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 195 | }, | 205 | }, | ||
| 196 | { | 206 | { | ||
| n | 197 | "display_name": "3D Point Clouds", | n | 207 | "display_name": "3D object detection", |
| 198 | "id": "55c31270-45cd-40ec-8846-a614fb63a2a8", | 208 | "id": "29e2c300-5e34-4414-92f8-249d6b62f429", | ||
| 199 | "name": "3D Point Clouds", | 209 | "name": "3D object detection", | ||
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| 201 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
| 202 | }, | 212 | }, | ||
| 203 | { | 213 | { | ||
| 204 | "display_name": "Autonomous Driving", | 214 | "display_name": "Autonomous Driving", | ||
| 205 | "id": "53b128b7-eb10-42a0-92e8-4b087d983174", | 215 | "id": "53b128b7-eb10-42a0-92e8-4b087d983174", | ||
| 206 | "name": "Autonomous Driving", | 216 | "name": "Autonomous Driving", | ||
| 207 | "state": "active", | 217 | "state": "active", | ||
| 208 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
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| 210 | { | 220 | { | ||
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| 213 | "name": "Autonomous Vehicles", | 223 | "name": "Autonomous Vehicles", | ||
| 214 | "state": "active", | 224 | "state": "active", | ||
| 215 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 216 | }, | 226 | }, | ||
| 217 | { | 227 | { | ||
| 218 | "display_name": "Autonomous driving", | 228 | "display_name": "Autonomous driving", | ||
| 219 | "id": "021c30a1-b663-4fd6-b6e1-2365980f249c", | 229 | "id": "021c30a1-b663-4fd6-b6e1-2365980f249c", | ||
| 220 | "name": "Autonomous driving", | 230 | "name": "Autonomous driving", | ||
| 221 | "state": "active", | 231 | "state": "active", | ||
| 222 | "vocabulary_id": null | 232 | "vocabulary_id": null | ||
| 223 | }, | 233 | }, | ||
| 224 | { | 234 | { | ||
| n | n | 235 | "display_name": "Camera", | ||
| 236 | "id": "675833d6-2788-4b93-9644-62ecacf49710", | ||||
| 237 | "name": "Camera", | ||||
| 238 | "state": "active", | ||||
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| 240 | }, | ||||
| 241 | { | ||||
| 242 | "display_name": "Computer Vision", | ||||
| 243 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||||
| 244 | "name": "Computer Vision", | ||||
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| 246 | "vocabulary_id": null | ||||
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| 248 | { | ||||
| 249 | "display_name": "Computer vision", | ||||
| 250 | "id": "4c7f3390-b5b7-4476-ba59-f5551656e121", | ||||
| 251 | "name": "Computer vision", | ||||
| 252 | "state": "active", | ||||
| 253 | "vocabulary_id": null | ||||
| 254 | }, | ||||
| 255 | { | ||||
| 225 | "display_name": "LiDAR", | 256 | "display_name": "LiDAR", | ||
| 226 | "id": "d3e5e683-df2e-4a64-84a0-93185f5f806e", | 257 | "id": "d3e5e683-df2e-4a64-84a0-93185f5f806e", | ||
| 227 | "name": "LiDAR", | 258 | "name": "LiDAR", | ||
| 228 | "state": "active", | 259 | "state": "active", | ||
| 229 | "vocabulary_id": null | 260 | "vocabulary_id": null | ||
| 230 | }, | 261 | }, | ||
| 231 | { | 262 | { | ||
| n | n | 263 | "display_name": "Motion prediction", | ||
| 264 | "id": "9c2c146c-c061-4e1f-8673-985636d0d64f", | ||||
| 265 | "name": "Motion prediction", | ||||
| 266 | "state": "active", | ||||
| 267 | "vocabulary_id": null | ||||
| 268 | }, | ||||
| 269 | { | ||||
| 232 | "display_name": "Object Detection", | 270 | "display_name": "Object Detection", | ||
| 233 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 271 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
| 234 | "name": "Object Detection", | 272 | "name": "Object Detection", | ||
| 235 | "state": "active", | 273 | "state": "active", | ||
| 236 | "vocabulary_id": null | 274 | "vocabulary_id": null | ||
| 237 | }, | 275 | }, | ||
| 238 | { | 276 | { | ||
| n | n | 277 | "display_name": "Occupancy prediction", | ||
| 278 | "id": "bea24057-0aca-4537-ba11-6153d4f228b0", | ||||
| 279 | "name": "Occupancy prediction", | ||||
| 280 | "state": "active", | ||||
| 281 | "vocabulary_id": null | ||||
| 282 | }, | ||||
| 283 | { | ||||
| 239 | "display_name": "Point Clouds", | 284 | "display_name": "SD maps", | ||
| 240 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | 285 | "id": "c5de3883-db8c-4641-a47b-a571a1206707", | ||
| 241 | "name": "Point Clouds", | 286 | "name": "SD maps", | ||
| 242 | "state": "active", | 287 | "state": "active", | ||
| 243 | "vocabulary_id": null | 288 | "vocabulary_id": null | ||
| 244 | }, | 289 | }, | ||
| 245 | { | 290 | { | ||
| 246 | "display_name": "Scene Understanding", | 291 | "display_name": "Scene Understanding", | ||
| 247 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | 292 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||
| 248 | "name": "Scene Understanding", | 293 | "name": "Scene Understanding", | ||
| 249 | "state": "active", | 294 | "state": "active", | ||
| 250 | "vocabulary_id": null | 295 | "vocabulary_id": null | ||
| 251 | }, | 296 | }, | ||
| 252 | { | 297 | { | ||
| n | 253 | "display_name": "Trajectory prediction", | n | 298 | "display_name": "Semantic Segmentation", |
| 254 | "id": "933e319c-3db7-4b51-b098-25063a72c1fd", | 299 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
| 255 | "name": "Trajectory prediction", | 300 | "name": "Semantic Segmentation", | ||
| 301 | "state": "active", | ||||
| 302 | "vocabulary_id": null | ||||
| 303 | }, | ||||
| 304 | { | ||||
| 305 | "display_name": "Semantic segmentation", | ||||
| 306 | "id": "ca545ae5-2da2-4e71-98b7-3268890347d1", | ||||
| 307 | "name": "Semantic segmentation", | ||||
| 256 | "state": "active", | 308 | "state": "active", | ||
| 257 | "vocabulary_id": null | 309 | "vocabulary_id": null | ||
| 258 | }, | 310 | }, | ||
| 259 | { | 311 | { | ||
| 260 | "display_name": "autonomous driving", | 312 | "display_name": "autonomous driving", | ||
| 261 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | 313 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | ||
| 262 | "name": "autonomous driving", | 314 | "name": "autonomous driving", | ||
| 263 | "state": "active", | 315 | "state": "active", | ||
| 264 | "vocabulary_id": null | 316 | "vocabulary_id": null | ||
| 265 | }, | 317 | }, | ||
| 266 | { | 318 | { | ||
| n | 267 | "display_name": "instance segmentation", | n | ||
| 268 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | ||||
| 269 | "name": "instance segmentation", | ||||
| 270 | "state": "active", | ||||
| 271 | "vocabulary_id": null | ||||
| 272 | }, | ||||
| 273 | { | ||||
| 274 | "display_name": "nuScenes", | 319 | "display_name": "camera", | ||
| 275 | "id": "80acb71b-ce26-460d-b37d-d53cc7259df4", | 320 | "id": "95681c47-99da-43fd-b5fc-d1bd48122832", | ||
| 276 | "name": "nuScenes", | 321 | "name": "camera", | ||
| 277 | "state": "active", | 322 | "state": "active", | ||
| 278 | "vocabulary_id": null | 323 | "vocabulary_id": null | ||
| 279 | }, | 324 | }, | ||
| 280 | { | 325 | { | ||
| n | n | 326 | "display_name": "camera sensor", | ||
| 327 | "id": "bdefd225-03c3-410c-bb02-807741a485d1", | ||||
| 328 | "name": "camera sensor", | ||||
| 329 | "state": "active", | ||||
| 330 | "vocabulary_id": null | ||||
| 331 | }, | ||||
| 332 | { | ||||
| 333 | "display_name": "computer vision", | ||||
| 334 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||||
| 335 | "name": "computer vision", | ||||
| 336 | "state": "active", | ||||
| 337 | "vocabulary_id": null | ||||
| 338 | }, | ||||
| 339 | { | ||||
| 340 | "display_name": "depth estimation", | ||||
| 341 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | ||||
| 342 | "name": "depth estimation", | ||||
| 343 | "state": "active", | ||||
| 344 | "vocabulary_id": null | ||||
| 345 | }, | ||||
| 346 | { | ||||
| 347 | "display_name": "fusion", | ||||
| 348 | "id": "9aab15db-9a2f-4e97-9a99-3167c8aec7a2", | ||||
| 349 | "name": "fusion", | ||||
| 350 | "state": "active", | ||||
| 351 | "vocabulary_id": null | ||||
| 352 | }, | ||||
| 353 | { | ||||
| 354 | "display_name": "monocular 3D object detection", | ||||
| 355 | "id": "ddeaf429-b6c1-47b8-a9dd-b818ff7e2bb7", | ||||
| 356 | "name": "monocular 3D object detection", | ||||
| 357 | "state": "active", | ||||
| 358 | "vocabulary_id": null | ||||
| 359 | }, | ||||
| 360 | { | ||||
| 361 | "display_name": "monocular depth estimation", | ||||
| 362 | "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd", | ||||
| 363 | "name": "monocular depth estimation", | ||||
| 364 | "state": "active", | ||||
| 365 | "vocabulary_id": null | ||||
| 366 | }, | ||||
| 367 | { | ||||
| 281 | "display_name": "nuScenes Dataset", | 368 | "display_name": "nuScenes dataset", | ||
| 282 | "id": "7a2c6e77-8227-47da-bb2b-b05587567325", | 369 | "id": "533f5efa-0c6b-4c9d-b7d8-34ee8553d0b5", | ||
| 283 | "name": "nuScenes Dataset", | 370 | "name": "nuScenes dataset", | ||
| 371 | "state": "active", | ||||
| 372 | "vocabulary_id": null | ||||
| 373 | }, | ||||
| 374 | { | ||||
| 375 | "display_name": "nuscenes", | ||||
| 376 | "id": "b1a222ef-7263-439f-a69e-1e4268d451bc", | ||||
| 377 | "name": "nuscenes", | ||||
| 284 | "state": "active", | 378 | "state": "active", | ||
| 285 | "vocabulary_id": null | 379 | "vocabulary_id": null | ||
| 286 | }, | 380 | }, | ||
| 287 | { | 381 | { | ||
| 288 | "display_name": "object detection", | 382 | "display_name": "object detection", | ||
| 289 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 383 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
| 290 | "name": "object detection", | 384 | "name": "object detection", | ||
| 291 | "state": "active", | 385 | "state": "active", | ||
| 292 | "vocabulary_id": null | 386 | "vocabulary_id": null | ||
| n | n | 387 | }, | ||
| 388 | { | ||||
| 389 | "display_name": "object tracking", | ||||
| 390 | "id": "e646b273-a37f-4370-9218-644badd6e4fc", | ||||
| 391 | "name": "object tracking", | ||||
| 392 | "state": "active", | ||||
| 393 | "vocabulary_id": null | ||||
| 394 | }, | ||||
| 395 | { | ||||
| 396 | "display_name": "radar", | ||||
| 397 | "id": "716cda3c-e9bb-443d-bea7-35f1e0570ea4", | ||||
| 398 | "name": "radar", | ||||
| 399 | "state": "active", | ||||
| 400 | "vocabulary_id": null | ||||
| 401 | }, | ||||
| 402 | { | ||||
| 403 | "display_name": "radar sensor", | ||||
| 404 | "id": "6b175c1e-b69b-4556-900a-9cdaec0ca4e9", | ||||
| 405 | "name": "radar sensor", | ||||
| 406 | "state": "active", | ||||
| 407 | "vocabulary_id": null | ||||
| 408 | }, | ||||
| 409 | { | ||||
| 410 | "display_name": "real-world driving data", | ||||
| 411 | "id": "7e78660d-4c02-41ab-85a5-8d671e8341df", | ||||
| 412 | "name": "real-world driving data", | ||||
| 413 | "state": "active", | ||||
| 414 | "vocabulary_id": null | ||||
| 415 | }, | ||||
| 416 | { | ||||
| 417 | "display_name": "scene understanding", | ||||
| 418 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | ||||
| 419 | "name": "scene understanding", | ||||
| 420 | "state": "active", | ||||
| 421 | "vocabulary_id": null | ||||
| 422 | }, | ||||
| 423 | { | ||||
| 424 | "display_name": "surround-view images", | ||||
| 425 | "id": "1fa19c5e-ad23-4c5f-bd29-8fba793075c6", | ||||
| 426 | "name": "surround-view images", | ||||
| 427 | "state": "active", | ||||
| 428 | "vocabulary_id": null | ||||
| 429 | }, | ||||
| 430 | { | ||||
| 431 | "display_name": "trajectory prediction", | ||||
| 432 | "id": "4b6c0aa4-5683-4f7d-9bca-9820906a7886", | ||||
| 433 | "name": "trajectory prediction", | ||||
| 434 | "state": "active", | ||||
| 435 | "vocabulary_id": null | ||||
| 436 | }, | ||||
| 437 | { | ||||
| 438 | "display_name": "urban settings", | ||||
| 439 | "id": "ad661a82-de46-4877-a182-e3cf52c8a41e", | ||||
| 440 | "name": "urban settings", | ||||
| 441 | "state": "active", | ||||
| 442 | "vocabulary_id": null | ||||
| 443 | }, | ||||
| 444 | { | ||||
| 445 | "display_name": "vehicle trajectories", | ||||
| 446 | "id": "d4f2a19b-5dd1-424c-a513-7b956a89a355", | ||||
| 447 | "name": "vehicle trajectories", | ||||
| 448 | "state": "active", | ||||
| 449 | "vocabulary_id": null | ||||
| 293 | } | 450 | } | ||
| 294 | ], | 451 | ], | ||
| t | 295 | "title": "nuScenes Dataset", | t | 452 | "title": "nuScenes dataset", |
| 296 | "type": "dataset", | 453 | "type": "dataset", | ||
| 297 | "version": "" | 454 | "version": "" | ||
| 298 | } | 455 | } |