Changes
On December 2, 2024 at 5:54:08 PM UTC,
admin:
-
Changed title to CelebA Dataset (previously CelebA dataset)
-
Set author of CelebA Dataset to Zheng Dai (previously Akbir Khan)
-
Updated description of CelebA Dataset from
The dataset used in this research is sliced from CelebA dataset. Specifically, only the first five classes of CelebA dataset used in this research: 5 O’Clock Shadow, Arched Eyebrows, Attractive, Bags Under Eyes, and Bald.
toModel inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model.
-
Removed the following tags from CelebA Dataset
- face attribute editing
- face images
- CelebA dataset
- GANs
- Celebrity Faces
- image synthesis
- Image Synthesis
- facial attributes
- Image classification
- Image Resolution
- celebrities
- Clustering
- celebA
- image dataset
- Generative Models
- Computer Vision
- Face Dataset
- image classification
- Face Generation
- celebrity faces
- machine learning
- Face Images
- binary attributes
- Face Editing
- binary sentiment scores
- face parsing
- Facial Attributes
- fairness in machine learning
- images
- Celebrity Images
- face detection
- Age Bias
- face dataset
- binary sensitive attributes
- Face Detection
- Image processing
- celebA dataset
- smile detection
- Variations
- Accessories
- face recognition dataset
- facial images
- celebrity dataset
- Image Processing
- image generation
- colorization
- Face recognition
- Deep Learning
- Normalizing Flows
- dataset
- landmark locations
- Image Classification
-
Added the following tags to CelebA Dataset
-
Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2304.04625
in CelebA Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'David K Gifford', 'orcid': ''}]
in CelebA Dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.1912.13464', 'https://doi.org/10.48550/arXiv.1805.06605', 'https://doi.org/10.1007/s11263-024-02153-0', 'https://doi.org/10.48550/arXiv.2306.02174', 'https://doi.org/10.48550/arXiv.1801.05551', 'https://doi.org/10.48550/arXiv.2105.04801']
in CelebA Dataset -
Changed value of field
landing_page
tohttps://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
in CelebA Dataset -
Deleted resource Original Metadata from CelebA Dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Akbir Khan", | n | 3 | "author": "Zheng Dai", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| n | 6 | "https://doi.org/10.48550/arXiv.1812.04751", | n | ||
| 7 | "https://doi.org/10.1109/TPAMI.2021.3092677", | ||||
| 8 | "https://doi.org/10.48550/arXiv.2206.10923", | ||||
| 9 | "https://doi.org/10.48550/arXiv.2304.00061", | ||||
| 10 | "https://doi.org/10.48550/arXiv.1711.02879", | ||||
| 11 | "https://doi.org/10.48550/arXiv.2204.03559", | ||||
| 12 | "https://doi.org/10.48550/arXiv.1805.09804", | ||||
| 13 | "https://doi.org/10.48550/arXiv.2010.12810", | ||||
| 14 | "https://doi.org/10.1109/CVPR.2019.01143", | ||||
| 15 | "https://doi.org/10.48550/arXiv.1910.01968", | ||||
| 16 | "https://doi.org/10.48550/arXiv.1909.07156", | ||||
| 17 | "https://doi.org/10.48550/arXiv.2302.00628", | ||||
| 18 | "https://doi.org/10.48550/arXiv.2010.01037", | ||||
| 19 | "https://doi.org/10.48550/arXiv.2302.03791", | ||||
| 20 | "https://doi.org/10.48550/arXiv.2009.04441", | ||||
| 21 | "https://doi.org/10.48550/arXiv.2403.09450", | ||||
| 22 | "https://doi.org/10.48550/arXiv.2209.15304", | ||||
| 23 | "https://doi.org/10.48550/arXiv.2005.05526", | ||||
| 24 | "https://doi.org/10.48550/arXiv.2203.06570", | ||||
| 25 | "https://doi.org/10.48550/arXiv.2102.00892", | ||||
| 26 | "https://doi.org/10.48550/arXiv.1707.05776", | ||||
| 27 | "https://doi.org/10.48550/arXiv.1903.03905", | ||||
| 28 | "https://doi.org/10.48550/arXiv.1911.07460", | ||||
| 29 | "https://doi.org/10.48550/arXiv.1807.04585", | ||||
| 30 | "https://doi.org/10.48550/arXiv.1809.08754", | ||||
| 31 | "https://doi.org/10.48550/arXiv.2005.04602", | ||||
| 32 | "https://doi.org/10.48550/arXiv.1904.13078", | ||||
| 33 | "https://doi.org/10.48550/arXiv.2003.01972", | ||||
| 34 | "https://doi.org/10.48550/arXiv.2406.10556", | ||||
| 35 | "https://doi.org/10.48550/arXiv.2009.06389", | ||||
| 36 | "https://doi.org/10.48550/arXiv.2006.10597", | ||||
| 37 | "https://doi.org/10.48550/arXiv.2308.14048", | ||||
| 38 | "https://doi.org/10.48550/arXiv.2405.14544", | ||||
| 39 | "https://doi.org/10.48550/arXiv.2001.03698", | ||||
| 40 | "https://doi.org/10.48550/arXiv.2309.16928", | ||||
| 41 | "https://doi.org/10.48550/arXiv.1612.02136", | 6 | "https://doi.org/10.48550/arXiv.1912.13464", | ||
| 7 | "https://doi.org/10.48550/arXiv.1805.06605", | ||||
| 8 | "https://doi.org/10.1007/s11263-024-02153-0", | ||||
| 42 | "https://doi.org/10.48550/arXiv.2003.03233", | 9 | "https://doi.org/10.48550/arXiv.2306.02174", | ||
| 10 | "https://doi.org/10.48550/arXiv.1801.05551", | ||||
| 43 | "https://doi.org/10.48550/arXiv.2206.03985", | 11 | "https://doi.org/10.48550/arXiv.2105.04801" | ||
| 44 | "https://doi.org/10.48550/arXiv.2011.11878" | ||||
| 45 | ], | 12 | ], | ||
| 46 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| n | 47 | "defined_in": "https://doi.org/10.1007/978-3-030-58568-6_31", | n | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2304.04625", |
| 48 | "doi": "10.57702/llsyhj0j", | 15 | "doi": "10.57702/llsyhj0j", | ||
| 49 | "doi_date_published": "2024-11-25", | 16 | "doi_date_published": "2024-11-25", | ||
| 50 | "doi_publisher": "TIB", | 17 | "doi_publisher": "TIB", | ||
| 51 | "doi_status": true, | 18 | "doi_status": true, | ||
| 52 | "domain": "https://service.tib.eu/ldmservice", | 19 | "domain": "https://service.tib.eu/ldmservice", | ||
| 53 | "extra_authors": [ | 20 | "extra_authors": [ | ||
| 54 | { | 21 | { | ||
| n | 55 | "extra_author": "Marwa Mahmoud", | n | 22 | "extra_author": "David K Gifford", |
| 56 | "orcid": "" | 23 | "orcid": "" | ||
| 57 | } | 24 | } | ||
| 58 | ], | 25 | ], | ||
| 59 | "groups": [ | 26 | "groups": [ | ||
| 60 | { | 27 | { | ||
| 61 | "description": "", | 28 | "description": "", | ||
| n | 62 | "display_name": "Age Bias", | n | 29 | "display_name": "Face Forgery Detection", |
| 63 | "id": "75723ec9-2386-420c-97fe-a805b12fa3b5", | 30 | "id": "94477a2a-9bd4-4d96-9d7d-a6de733c161d", | ||
| 64 | "image_display_url": "", | 31 | "image_display_url": "", | ||
| n | 65 | "name": "age-bias", | n | ||
| 66 | "title": "Age Bias" | ||||
| 67 | }, | ||||
| 68 | { | ||||
| 69 | "description": "", | ||||
| 70 | "display_name": "Attribute Learning", | ||||
| 71 | "id": "2b01f396-1924-4940-994e-9ecb920bd1e3", | ||||
| 72 | "image_display_url": "", | ||||
| 73 | "name": "attribute-learning", | ||||
| 74 | "title": "Attribute Learning" | ||||
| 75 | }, | ||||
| 76 | { | ||||
| 77 | "description": "", | ||||
| 78 | "display_name": "Celebrity Dataset", | ||||
| 79 | "id": "cb49011a-7243-4f82-947e-244b823173b5", | ||||
| 80 | "image_display_url": "", | ||||
| 81 | "name": "celebrity-dataset", | ||||
| 82 | "title": "Celebrity Dataset" | ||||
| 83 | }, | ||||
| 84 | { | ||||
| 85 | "description": "", | ||||
| 86 | "display_name": "Celebrity Faces", | ||||
| 87 | "id": "21cc85a8-7a41-4bca-8c23-1673d6523856", | ||||
| 88 | "image_display_url": "", | ||||
| 89 | "name": "celebrity-faces", | ||||
| 90 | "title": "Celebrity Faces" | ||||
| 91 | }, | ||||
| 92 | { | ||||
| 93 | "description": "", | ||||
| 94 | "display_name": "Clustering", | ||||
| 95 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | ||||
| 96 | "image_display_url": "", | ||||
| 97 | "name": "clustering", | ||||
| 98 | "title": "Clustering" | ||||
| 99 | }, | ||||
| 100 | { | ||||
| 101 | "description": "", | ||||
| 102 | "display_name": "Computer Vision", | ||||
| 103 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||||
| 104 | "image_display_url": "", | ||||
| 105 | "name": "computer-vision", | ||||
| 106 | "title": "Computer Vision" | ||||
| 107 | }, | ||||
| 108 | { | ||||
| 109 | "description": "", | ||||
| 110 | "display_name": "Counterfactuals", | ||||
| 111 | "id": "9e3174b7-19c7-4c41-818c-ebe9804e9143", | ||||
| 112 | "image_display_url": "", | ||||
| 113 | "name": "counterfactuals", | ||||
| 114 | "title": "Counterfactuals" | ||||
| 115 | }, | ||||
| 116 | { | ||||
| 117 | "description": "", | ||||
| 118 | "display_name": "Face Analysis", | ||||
| 119 | "id": "39e54517-0cc3-471c-88dc-0afc969c08f0", | ||||
| 120 | "image_display_url": "", | ||||
| 121 | "name": "face-analysis", | ||||
| 122 | "title": "Face Analysis" | ||||
| 123 | }, | ||||
| 124 | { | ||||
| 125 | "description": "", | ||||
| 126 | "display_name": "Face Attribute Editing", | ||||
| 127 | "id": "d9a646e6-be6c-496c-a8aa-0127048a0618", | ||||
| 128 | "image_display_url": "", | ||||
| 129 | "name": "face-attribute-editing", | ||||
| 130 | "title": "Face Attribute Editing" | ||||
| 131 | }, | ||||
| 132 | { | ||||
| 133 | "description": "", | ||||
| 134 | "display_name": "Face Dataset", | ||||
| 135 | "id": "59a05e4e-66ad-4578-b6be-a9d70a241675", | ||||
| 136 | "image_display_url": "", | ||||
| 137 | "name": "face-dataset", | ||||
| 138 | "title": "Face Dataset" | ||||
| 139 | }, | ||||
| 140 | { | ||||
| 141 | "description": "", | ||||
| 142 | "display_name": "Face Detection", | ||||
| 143 | "id": "5aafd508-e65d-4172-9bfe-50dd1ec0bc59", | ||||
| 144 | "image_display_url": "", | ||||
| 145 | "name": "face-detection", | 32 | "name": "face-forgery-detection", | ||
| 146 | "title": "Face Detection" | 33 | "title": "Face Forgery Detection" | ||
| 147 | }, | ||||
| 148 | { | ||||
| 149 | "description": "", | ||||
| 150 | "display_name": "Face Editing", | ||||
| 151 | "id": "03963fa7-5675-4312-93d8-2a9e6dcc433d", | ||||
| 152 | "image_display_url": "", | ||||
| 153 | "name": "face-editing", | ||||
| 154 | "title": "Face Editing" | ||||
| 155 | }, | ||||
| 156 | { | ||||
| 157 | "description": "", | ||||
| 158 | "display_name": "Face Generation", | ||||
| 159 | "id": "55376502-8f4a-4d08-8c93-4ce020790aca", | ||||
| 160 | "image_display_url": "", | ||||
| 161 | "name": "face-generation", | ||||
| 162 | "title": "Face Generation" | ||||
| 163 | }, | ||||
| 164 | { | ||||
| 165 | "description": "", | ||||
| 166 | "display_name": "Face Images", | ||||
| 167 | "id": "7f0b4265-15b1-430a-b6dc-8f02319a7f4c", | ||||
| 168 | "image_display_url": "", | ||||
| 169 | "name": "face-images", | ||||
| 170 | "title": "Face Images" | ||||
| 171 | }, | ||||
| 172 | { | ||||
| 173 | "description": "", | ||||
| 174 | "display_name": "Face Parsing", | ||||
| 175 | "id": "80d43afb-dbae-4a89-a70c-e5a31a124860", | ||||
| 176 | "image_display_url": "", | ||||
| 177 | "name": "face-parsing", | ||||
| 178 | "title": "Face Parsing" | ||||
| 179 | }, | 34 | }, | ||
| 180 | { | 35 | { | ||
| 181 | "description": "", | 36 | "description": "", | ||
| 182 | "display_name": "Face Recognition", | 37 | "display_name": "Face Recognition", | ||
| 183 | "id": "093d711e-6bc6-43b9-986c-a26d6ff08660", | 38 | "id": "093d711e-6bc6-43b9-986c-a26d6ff08660", | ||
| 184 | "image_display_url": "", | 39 | "image_display_url": "", | ||
| 185 | "name": "face-recognition", | 40 | "name": "face-recognition", | ||
| 186 | "title": "Face Recognition" | 41 | "title": "Face Recognition" | ||
| 187 | }, | 42 | }, | ||
| 188 | { | 43 | { | ||
| 189 | "description": "", | 44 | "description": "", | ||
| n | 190 | "display_name": "Facial Attribute Recognition", | n | 45 | "display_name": "Image Dataset", |
| 191 | "id": "9045c8d4-9deb-4b30-b533-16ce7e7beee1", | 46 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | ||
| 192 | "image_display_url": "", | 47 | "image_display_url": "", | ||
| n | 193 | "name": "facial-attribute-recognition", | n | ||
| 194 | "title": "Facial Attribute Recognition" | ||||
| 195 | }, | ||||
| 196 | { | ||||
| 197 | "description": "", | ||||
| 198 | "display_name": "Facial Image Analysis", | ||||
| 199 | "id": "243f9673-4194-4ff4-ba6b-f5d810ab5b53", | ||||
| 200 | "image_display_url": "", | ||||
| 201 | "name": "facial-image-analysis", | ||||
| 202 | "title": "Facial Image Analysis" | ||||
| 203 | }, | ||||
| 204 | { | ||||
| 205 | "description": "", | ||||
| 206 | "display_name": "Facial Recognition", | ||||
| 207 | "id": "7c5a94ea-1be0-4ed2-a5f0-21c5bc7780be", | ||||
| 208 | "image_display_url": "", | ||||
| 209 | "name": "facial-recognition", | ||||
| 210 | "title": "Facial Recognition" | ||||
| 211 | }, | ||||
| 212 | { | ||||
| 213 | "description": "", | ||||
| 214 | "display_name": "Fairness in machine learning", | ||||
| 215 | "id": "acd9ab59-b298-49cd-8e2b-8de7d366522b", | ||||
| 216 | "image_display_url": "", | ||||
| 217 | "name": "fairness-in-machine-learning", | ||||
| 218 | "title": "Fairness in machine learning" | ||||
| 219 | }, | ||||
| 220 | { | ||||
| 221 | "description": "", | ||||
| 222 | "display_name": "Generative Models", | ||||
| 223 | "id": "f42cf4b7-7fad-4c96-8a26-ea5d45dca6aa", | ||||
| 224 | "image_display_url": "", | ||||
| 225 | "name": "generative-models", | ||||
| 226 | "title": "Generative Models" | ||||
| 227 | }, | ||||
| 228 | { | ||||
| 229 | "description": "", | ||||
| 230 | "display_name": "Image Classification", | ||||
| 231 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||||
| 232 | "image_display_url": "", | ||||
| 233 | "name": "image-classification", | ||||
| 234 | "title": "Image Classification" | ||||
| 235 | }, | ||||
| 236 | { | ||||
| 237 | "description": "", | ||||
| 238 | "display_name": "Image Denoising", | ||||
| 239 | "id": "ed3be710-2314-4ae1-b51c-68427278372c", | ||||
| 240 | "image_display_url": "", | ||||
| 241 | "name": "image-denoising", | 48 | "name": "image-dataset", | ||
| 242 | "title": "Image Denoising" | 49 | "title": "Image Dataset" | ||
| 243 | }, | 50 | }, | ||
| 244 | { | 51 | { | ||
| 245 | "description": "", | 52 | "description": "", | ||
| 246 | "display_name": "Image Generation", | 53 | "display_name": "Image Generation", | ||
| 247 | "id": "be25a76c-def1-4e73-8b1c-b81222d63867", | 54 | "id": "be25a76c-def1-4e73-8b1c-b81222d63867", | ||
| 248 | "image_display_url": "", | 55 | "image_display_url": "", | ||
| 249 | "name": "image-generation", | 56 | "name": "image-generation", | ||
| 250 | "title": "Image Generation" | 57 | "title": "Image Generation" | ||
| n | 251 | }, | n | ||
| 252 | { | ||||
| 253 | "description": "", | ||||
| 254 | "display_name": "Image Processing", | ||||
| 255 | "id": "31f537e7-23f2-4663-9ae4-f2147dfbce50", | ||||
| 256 | "image_display_url": "", | ||||
| 257 | "name": "image-processing", | ||||
| 258 | "title": "Image Processing" | ||||
| 259 | }, | ||||
| 260 | { | ||||
| 261 | "description": "", | ||||
| 262 | "display_name": "Image Synthesis", | ||||
| 263 | "id": "8b89ca6b-96f7-439b-8045-febd38230620", | ||||
| 264 | "image_display_url": "", | ||||
| 265 | "name": "image-synthesis", | ||||
| 266 | "title": "Image Synthesis" | ||||
| 267 | }, | ||||
| 268 | { | ||||
| 269 | "description": "", | ||||
| 270 | "display_name": "Normalizing Flows", | ||||
| 271 | "id": "f585133d-eafc-4a6c-9917-a41d10d1a471", | ||||
| 272 | "image_display_url": "", | ||||
| 273 | "name": "normalizing-flows", | ||||
| 274 | "title": "Normalizing Flows" | ||||
| 275 | } | 58 | } | ||
| 276 | ], | 59 | ], | ||
| 277 | "id": "77393763-cf2a-4c16-9d18-2c5d1dc7e158", | 60 | "id": "77393763-cf2a-4c16-9d18-2c5d1dc7e158", | ||
| 278 | "isopen": false, | 61 | "isopen": false, | ||
| n | 279 | "landing_page": "https://www.robots.ox.ac.uk/~vgg/data/celeba/", | n | 62 | "landing_page": "https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html", |
| 280 | "license_title": null, | 63 | "license_title": null, | ||
| 281 | "link_orkg": "", | 64 | "link_orkg": "", | ||
| 282 | "metadata_created": "2024-11-25T14:19:33.953345", | 65 | "metadata_created": "2024-11-25T14:19:33.953345", | ||
| n | 283 | "metadata_modified": "2024-12-02T17:42:54.981308", | n | 66 | "metadata_modified": "2024-12-02T17:54:08.093584", |
| 284 | "name": "celeba-dataset", | 67 | "name": "celeba-dataset", | ||
| n | 285 | "notes": "The dataset used in this research is sliced from CelebA | n | 68 | "notes": "Model inversion attacks are a type of privacy attack that |
| 286 | dataset. Specifically, only the first five classes of CelebA dataset | 69 | reconstructs private data used to train a machine learning model, | ||
| 287 | used in this research: 5 O\u2019Clock Shadow, Arched Eyebrows, | 70 | solely by accessing the model.", | ||
| 288 | Attractive, Bags Under Eyes, and Bald.", | ||||
| 289 | "num_resources": 1, | 71 | "num_resources": 0, | ||
| 290 | "num_tags": 59, | 72 | "num_tags": 13, | ||
| 291 | "organization": { | 73 | "organization": { | ||
| 292 | "approval_status": "approved", | 74 | "approval_status": "approved", | ||
| 293 | "created": "2024-11-25T12:11:38.292601", | 75 | "created": "2024-11-25T12:11:38.292601", | ||
| 294 | "description": "", | 76 | "description": "", | ||
| 295 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 77 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 296 | "image_url": "", | 78 | "image_url": "", | ||
| 297 | "is_organization": true, | 79 | "is_organization": true, | ||
| 298 | "name": "no-organization", | 80 | "name": "no-organization", | ||
| 299 | "state": "active", | 81 | "state": "active", | ||
| 300 | "title": "No Organization", | 82 | "title": "No Organization", | ||
| 301 | "type": "organization" | 83 | "type": "organization" | ||
| 302 | }, | 84 | }, | ||
| 303 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 85 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 304 | "private": false, | 86 | "private": false, | ||
| 305 | "relationships_as_object": [], | 87 | "relationships_as_object": [], | ||
| 306 | "relationships_as_subject": [], | 88 | "relationships_as_subject": [], | ||
| n | 307 | "resources": [ | n | 89 | "resources": [], |
| 308 | { | ||||
| 309 | "cache_last_updated": null, | ||||
| 310 | "cache_url": null, | ||||
| 311 | "created": "2024-12-02T18:38:42", | ||||
| 312 | "data": [ | ||||
| 313 | "dcterms:title", | ||||
| 314 | "dcterms:accessRights", | ||||
| 315 | "dcterms:creator", | ||||
| 316 | "dcterms:description", | ||||
| 317 | "dcterms:issued", | ||||
| 318 | "dcterms:language", | ||||
| 319 | "dcterms:identifier", | ||||
| 320 | "dcat:theme", | ||||
| 321 | "dcterms:type", | ||||
| 322 | "dcat:keyword", | ||||
| 323 | "dcat:landingPage", | ||||
| 324 | "dcterms:hasVersion", | ||||
| 325 | "dcterms:format", | ||||
| 326 | "mls:task", | ||||
| 327 | "datacite:isDescribedBy" | ||||
| 328 | ], | ||||
| 329 | "description": "The json representation of the dataset with its | ||||
| 330 | distributions based on DCAT.", | ||||
| 331 | "format": "JSON", | ||||
| 332 | "hash": "", | ||||
| 333 | "id": "6f97e20f-c236-4409-ba1d-e2278f5a33e9", | ||||
| 334 | "last_modified": "2024-12-02T17:42:54.964394", | ||||
| 335 | "metadata_modified": "2024-12-02T17:42:54.984415", | ||||
| 336 | "mimetype": "application/json", | ||||
| 337 | "mimetype_inner": null, | ||||
| 338 | "name": "Original Metadata", | ||||
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| 749 | "vocabulary_id": null | ||||
| 750 | }, | ||||
| 751 | { | ||||
| 752 | "display_name": "machine learning", | ||||
| 753 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||||
| 754 | "name": "machine learning", | ||||
| 755 | "state": "active", | ||||
| 756 | "vocabulary_id": null | ||||
| 757 | }, | ||||
| 758 | { | ||||
| 759 | "display_name": "smile detection", | ||||
| 760 | "id": "8d519b59-cb0c-4461-bf8a-f25b1a9d5f79", | ||||
| 761 | "name": "smile detection", | ||||
| 762 | "state": "active", | ||||
| 763 | "vocabulary_id": null | ||||
| 764 | } | 183 | } | ||
| 765 | ], | 184 | ], | ||
| t | 766 | "title": "CelebA dataset", | t | 185 | "title": "CelebA Dataset", |
| 767 | "type": "dataset", | 186 | "type": "dataset", | ||
| 768 | "version": "" | 187 | "version": "" | ||
| 769 | } | 188 | } |