Changes
On December 2, 2024 at 6:20:39 PM UTC, admin:
-
Changed title to LaION-400M (previously LAION-400M)
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Set author of LaION-400M to Omri Avrahami (previously Christoph Schuhmann)
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Updated description of LaION-400M from
The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.
toThe LaION-400M dataset contains 400 million image-text pairs, with a focus on diverse and high-quality images.
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Removed the following tags from LaION-400M
- text-to-image
- RGBD images
- HDR panorama
- Image-text dataset
- Supervised Learning
- text-driven
- Image-Text Retrieval
- 400 million image-text pairs
- Unstructured data
- Image analysis
- visual question answering
- Large Scale
- CLIP-filtered dataset
- depth estimation
- Image-Text Pairs
- LAION-400M
- image-text dataset
- vision-and-language models
- Zero-Shot Learning
- Pairs
- ImageNet
- Text analysis
- image captioning
- image-text matching
- large-scale dataset
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Added the following tags to LaION-400M
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2403.04279
in LaION-400M -
Changed value of field
extra_authors
to[{'extra_author': 'Ohad Fried', 'orcid': ''}, {'extra_author': 'Dani Lischinski', 'orcid': ''}]
in LaION-400M -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2309.16671', 'https://doi.org/10.48550/arXiv.2403.20312']
in LaION-400M -
Deleted resource Original Metadata from LaION-400M
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Christoph Schuhmann", | n | 3 | "author": "Omri Avrahami", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
n | 6 | "https://doi.org/10.48550/arXiv.2312.14988", | n | ||
7 | "https://doi.org/10.48550/arXiv.2312.04567", | ||||
8 | "https://doi.org/10.48550/arXiv.2306.15447", | 6 | "https://doi.org/10.48550/arXiv.2309.16671", | ||
9 | "https://doi.org/10.48550/arXiv.2405.03190", | 7 | "https://doi.org/10.48550/arXiv.2403.20312" | ||
10 | "https://doi.org/10.48550/arXiv.2305.20088", | ||||
11 | "https://doi.org/10.48550/arXiv.2312.01987", | ||||
12 | "https://doi.org/10.48550/arXiv.2307.00619", | ||||
13 | "https://doi.org/10.48550/arXiv.2311.10982", | ||||
14 | "https://doi.org/10.48550/arXiv.2404.07949", | ||||
15 | "https://doi.org/10.48550/arXiv.2212.04488", | ||||
16 | "https://doi.org/10.48550/arXiv.2304.02828", | ||||
17 | "https://doi.org/10.48550/arXiv.2405.12978", | ||||
18 | "https://doi.org/10.48550/arXiv.2311.17259", | ||||
19 | "https://doi.org/10.48550/arXiv.2303.15764" | ||||
20 | ], | 8 | ], | ||
21 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 22 | "defined_in": "https://doi.org/10.48550/arXiv.2304.08480", | n | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2403.04279", |
23 | "doi": "10.57702/2w4mj8iq", | 11 | "doi": "10.57702/2w4mj8iq", | ||
24 | "doi_date_published": "2024-12-02", | 12 | "doi_date_published": "2024-12-02", | ||
25 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
26 | "doi_status": true, | 14 | "doi_status": true, | ||
27 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
28 | "extra_authors": [ | 16 | "extra_authors": [ | ||
29 | { | 17 | { | ||
n | 30 | "extra_author": "Richard Vencu", | n | 18 | "extra_author": "Ohad Fried", |
31 | "orcid": "" | 19 | "orcid": "" | ||
32 | }, | 20 | }, | ||
33 | { | 21 | { | ||
n | 34 | "extra_author": "Romain Beaumont", | n | ||
35 | "orcid": "" | ||||
36 | }, | ||||
37 | { | ||||
38 | "extra_author": "Robert Kaczmarczyk", | ||||
39 | "orcid": "" | ||||
40 | }, | ||||
41 | { | ||||
42 | "extra_author": "Clayton Mullis", | ||||
43 | "orcid": "" | ||||
44 | }, | ||||
45 | { | ||||
46 | "extra_author": "Aarush Katta", | ||||
47 | "orcid": "" | ||||
48 | }, | ||||
49 | { | ||||
50 | "extra_author": "Theo Coombes", | ||||
51 | "orcid": "" | ||||
52 | }, | ||||
53 | { | ||||
54 | "extra_author": "Jenia Jitsev", | 22 | "extra_author": "Dani Lischinski", | ||
55 | "orcid": "" | ||||
56 | }, | ||||
57 | { | ||||
58 | "extra_author": "Aran Komatsuzaki", | ||||
59 | "orcid": "" | 23 | "orcid": "" | ||
60 | } | 24 | } | ||
61 | ], | 25 | ], | ||
62 | "groups": [ | 26 | "groups": [ | ||
63 | { | 27 | { | ||
64 | "description": "", | 28 | "description": "", | ||
n | 65 | "display_name": "Depth Estimation", | n | 29 | "display_name": "Data Collection", |
66 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | 30 | "id": "e5407d18-d3c2-4737-9f55-070f579cca99", | ||
67 | "image_display_url": "", | 31 | "image_display_url": "", | ||
n | 68 | "name": "depth-estimation", | n | ||
69 | "title": "Depth Estimation" | ||||
70 | }, | ||||
71 | { | ||||
72 | "description": "", | ||||
73 | "display_name": "Image Analysis", | ||||
74 | "id": "41147ff5-6a94-463c-9fe3-83db1dbf84a8", | ||||
75 | "image_display_url": "", | ||||
76 | "name": "image-analysis", | ||||
77 | "title": "Image Analysis" | ||||
78 | }, | ||||
79 | { | ||||
80 | "description": "", | ||||
81 | "display_name": "Image Captioning", | ||||
82 | "id": "7a76ce67-2607-4da9-a837-d2017dc33ec6", | ||||
83 | "image_display_url": "", | ||||
84 | "name": "image-captioning", | ||||
85 | "title": "Image Captioning" | ||||
86 | }, | ||||
87 | { | ||||
88 | "description": "", | ||||
89 | "display_name": "Image Classification", | ||||
90 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||||
91 | "image_display_url": "", | ||||
92 | "name": "image-classification", | 32 | "name": "data-collection", | ||
93 | "title": "Image Classification" | 33 | "title": "Data Collection" | ||
94 | }, | 34 | }, | ||
95 | { | 35 | { | ||
96 | "description": "", | 36 | "description": "", | ||
97 | "display_name": "Image Generation", | 37 | "display_name": "Image Generation", | ||
98 | "id": "be25a76c-def1-4e73-8b1c-b81222d63867", | 38 | "id": "be25a76c-def1-4e73-8b1c-b81222d63867", | ||
99 | "image_display_url": "", | 39 | "image_display_url": "", | ||
100 | "name": "image-generation", | 40 | "name": "image-generation", | ||
101 | "title": "Image Generation" | 41 | "title": "Image Generation" | ||
102 | }, | 42 | }, | ||
103 | { | 43 | { | ||
104 | "description": "", | 44 | "description": "", | ||
n | n | 45 | "display_name": "Image-Text Data", | ||
46 | "id": "56fc5067-0287-4290-87df-53fe63e00adc", | ||||
47 | "image_display_url": "", | ||||
48 | "name": "image-text-data", | ||||
49 | "title": "Image-Text Data" | ||||
50 | }, | ||||
51 | { | ||||
52 | "description": "", | ||||
105 | "display_name": "Image-Text Dataset", | 53 | "display_name": "Image-Text Dataset", | ||
106 | "id": "2f287fa5-3ac1-43a4-a75c-5c8776dce8e8", | 54 | "id": "2f287fa5-3ac1-43a4-a75c-5c8776dce8e8", | ||
107 | "image_display_url": "", | 55 | "image_display_url": "", | ||
108 | "name": "image-text-dataset", | 56 | "name": "image-text-dataset", | ||
109 | "title": "Image-Text Dataset" | 57 | "title": "Image-Text Dataset" | ||
n | 110 | }, | n | ||
111 | { | ||||
112 | "description": "", | ||||
113 | "display_name": "Image-Text Generation", | ||||
114 | "id": "fbeb3de5-8c3f-437c-95b8-68f2885f799f", | ||||
115 | "image_display_url": "", | ||||
116 | "name": "image-text-generation", | ||||
117 | "title": "Image-Text Generation" | ||||
118 | }, | 58 | }, | ||
119 | { | 59 | { | ||
120 | "description": "", | 60 | "description": "", | ||
121 | "display_name": "Image-Text Matching", | 61 | "display_name": "Image-Text Matching", | ||
122 | "id": "0635db3c-45c8-49b1-b083-80ec6966b144", | 62 | "id": "0635db3c-45c8-49b1-b083-80ec6966b144", | ||
123 | "image_display_url": "", | 63 | "image_display_url": "", | ||
124 | "name": "image-text-matching", | 64 | "name": "image-text-matching", | ||
125 | "title": "Image-Text Matching" | 65 | "title": "Image-Text Matching" | ||
126 | }, | 66 | }, | ||
127 | { | 67 | { | ||
128 | "description": "", | 68 | "description": "", | ||
n | 129 | "display_name": "Image-Text Pairs", | n | 69 | "display_name": "Text-to-Image Synthesis", |
130 | "id": "ef2c0de5-16a1-4132-b779-cbbe27540f13", | 70 | "id": "731bfb4e-0ea0-48f6-a46f-03bc7eb9e4fe", | ||
131 | "image_display_url": "", | 71 | "image_display_url": "", | ||
n | 132 | "name": "image-text-pairs", | n | ||
133 | "title": "Image-Text Pairs" | ||||
134 | }, | ||||
135 | { | ||||
136 | "description": "", | ||||
137 | "display_name": "Image-Text Pre-training", | ||||
138 | "id": "03a3bb8b-20d3-40b2-b5ac-4fd948153611", | ||||
139 | "image_display_url": "", | ||||
140 | "name": "image-text-pre-training", | ||||
141 | "title": "Image-Text Pre-training" | ||||
142 | }, | ||||
143 | { | ||||
144 | "description": "", | ||||
145 | "display_name": "Image-Text Retrieval", | ||||
146 | "id": "28bbc5c8-e229-4df6-9cf1-d2040f80541a", | ||||
147 | "image_display_url": "", | ||||
148 | "name": "image-text-retrieval", | ||||
149 | "title": "Image-Text Retrieval" | ||||
150 | }, | ||||
151 | { | ||||
152 | "description": "", | ||||
153 | "display_name": "Text Analysis", | ||||
154 | "id": "c6e4118d-2ceb-49cc-97b8-1ddd4db9ffaa", | ||||
155 | "image_display_url": "", | ||||
156 | "name": "text-analysis", | 72 | "name": "text-to-image-synthesis", | ||
157 | "title": "Text Analysis" | 73 | "title": "Text-to-Image Synthesis" | ||
158 | }, | 74 | }, | ||
159 | { | 75 | { | ||
160 | "description": "", | 76 | "description": "", | ||
161 | "display_name": "Vision-Language Models", | 77 | "display_name": "Vision-Language Models", | ||
162 | "id": "71ce768c-2180-446e-b8bd-7d0d2e73a077", | 78 | "id": "71ce768c-2180-446e-b8bd-7d0d2e73a077", | ||
163 | "image_display_url": "", | 79 | "image_display_url": "", | ||
164 | "name": "vision-language-models", | 80 | "name": "vision-language-models", | ||
165 | "title": "Vision-Language Models" | 81 | "title": "Vision-Language Models" | ||
n | 166 | }, | n | ||
167 | { | ||||
168 | "description": "", | ||||
169 | "display_name": "Vision-and-Language Models", | ||||
170 | "id": "8859491a-95fd-495f-9e99-91165571544a", | ||||
171 | "image_display_url": "", | ||||
172 | "name": "vision-and-language-models", | ||||
173 | "title": "Vision-and-Language Models" | ||||
174 | }, | ||||
175 | { | ||||
176 | "description": "", | ||||
177 | "display_name": "Zero-Shot Classification", | ||||
178 | "id": "1e123bf5-567f-46f2-8734-95262ff08919", | ||||
179 | "image_display_url": "", | ||||
180 | "name": "zero-shot-classification", | ||||
181 | "title": "Zero-Shot Classification" | ||||
182 | } | 82 | } | ||
183 | ], | 83 | ], | ||
184 | "id": "a08d7e35-d4e6-4456-9a4e-711422f5175d", | 84 | "id": "a08d7e35-d4e6-4456-9a4e-711422f5175d", | ||
185 | "isopen": false, | 85 | "isopen": false, | ||
186 | "landing_page": "https://arxiv.org/abs/2111.02114", | 86 | "landing_page": "https://arxiv.org/abs/2111.02114", | ||
187 | "license_title": null, | 87 | "license_title": null, | ||
188 | "link_orkg": "", | 88 | "link_orkg": "", | ||
189 | "metadata_created": "2024-12-02T17:55:36.175986", | 89 | "metadata_created": "2024-12-02T17:55:36.175986", | ||
n | 190 | "metadata_modified": "2024-12-02T17:55:36.591951", | n | 90 | "metadata_modified": "2024-12-02T18:20:39.177312", |
191 | "name": "laion-400m", | 91 | "name": "laion-400m", | ||
n | 192 | "notes": "The dataset used in the paper \"Scaling Laws of Synthetic | n | 92 | "notes": "The LaION-400M dataset contains 400 million image-text |
193 | Images for Model Training\". The dataset is used for supervised image | 93 | pairs, with a focus on diverse and high-quality images.", | ||
194 | classification and zero-shot classification tasks.", | ||||
195 | "num_resources": 1, | 94 | "num_resources": 0, | ||
196 | "num_tags": 28, | 95 | "num_tags": 10, | ||
197 | "organization": { | 96 | "organization": { | ||
198 | "approval_status": "approved", | 97 | "approval_status": "approved", | ||
199 | "created": "2024-11-25T12:11:38.292601", | 98 | "created": "2024-11-25T12:11:38.292601", | ||
200 | "description": "", | 99 | "description": "", | ||
201 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 100 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
202 | "image_url": "", | 101 | "image_url": "", | ||
203 | "is_organization": true, | 102 | "is_organization": true, | ||
204 | "name": "no-organization", | 103 | "name": "no-organization", | ||
205 | "state": "active", | 104 | "state": "active", | ||
206 | "title": "No Organization", | 105 | "title": "No Organization", | ||
207 | "type": "organization" | 106 | "type": "organization" | ||
208 | }, | 107 | }, | ||
209 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 108 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
210 | "private": false, | 109 | "private": false, | ||
211 | "relationships_as_object": [], | 110 | "relationships_as_object": [], | ||
212 | "relationships_as_subject": [], | 111 | "relationships_as_subject": [], | ||
n | 213 | "resources": [ | n | 112 | "resources": [], |
214 | { | ||||
215 | "cache_last_updated": null, | ||||
216 | "cache_url": null, | ||||
217 | "created": "2024-12-02T18:38:42", | ||||
218 | "data": [ | ||||
219 | "dcterms:title", | ||||
220 | "dcterms:accessRights", | ||||
221 | "dcterms:creator", | ||||
222 | "dcterms:description", | ||||
223 | "dcterms:issued", | ||||
224 | "dcterms:language", | ||||
225 | "dcterms:identifier", | ||||
226 | "dcat:theme", | ||||
227 | "dcterms:type", | ||||
228 | "dcat:keyword", | ||||
229 | "dcat:landingPage", | ||||
230 | "dcterms:hasVersion", | ||||
231 | "dcterms:format", | ||||
232 | "mls:task", | ||||
233 | "datacite:isDescribedBy" | ||||
234 | ], | ||||
235 | "description": "The json representation of the dataset with its | ||||
236 | distributions based on DCAT.", | ||||
237 | "format": "JSON", | ||||
238 | "hash": "", | ||||
239 | "id": "566e766f-9ae9-47fe-ad20-882b34d8d1de", | ||||
240 | "last_modified": "2024-12-02T17:55:36.580140", | ||||
241 | "metadata_modified": "2024-12-02T17:55:36.594773", | ||||
242 | "mimetype": "application/json", | ||||
243 | "mimetype_inner": null, | ||||
244 | "name": "Original Metadata", | ||||
245 | "package_id": "a08d7e35-d4e6-4456-9a4e-711422f5175d", | ||||
246 | "position": 0, | ||||
247 | "resource_type": null, | ||||
248 | "size": 2547, | ||||
249 | "state": "active", | ||||
250 | "url": | ||||
251 | resource/566e766f-9ae9-47fe-ad20-882b34d8d1de/download/metadata.json", | ||||
252 | "url_type": "upload" | ||||
253 | } | ||||
254 | ], | ||||
255 | "services_used_list": "", | 113 | "services_used_list": "", | ||
256 | "state": "active", | 114 | "state": "active", | ||
257 | "tags": [ | 115 | "tags": [ | ||
258 | { | 116 | { | ||
n | 259 | "display_name": "400 million image-text pairs", | n | 117 | "display_name": "Data Collection", |
260 | "id": "ea7ba38d-7c5e-4d0e-bc2a-b97d65353137", | 118 | "id": "7cec52fd-2eb1-4c11-9c4c-400d3278cc29", | ||
261 | "name": "400 million image-text pairs", | 119 | "name": "Data Collection", | ||
262 | "state": "active", | 120 | "state": "active", | ||
263 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
264 | }, | 122 | }, | ||
265 | { | 123 | { | ||
n | 266 | "display_name": "CLIP-\ufb01ltered dataset", | n | 124 | "display_name": "Image-Text Data", |
267 | "id": "486e3b60-66aa-4f4c-bd19-76a08d3ffd5f", | 125 | "id": "b35ee7e4-b3d8-4ea4-af9c-e36b24a33e7f", | ||
268 | "name": "CLIP-\ufb01ltered dataset", | 126 | "name": "Image-Text Data", | ||
269 | "state": "active", | 127 | "state": "active", | ||
270 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
271 | }, | 129 | }, | ||
272 | { | 130 | { | ||
n | 273 | "display_name": "HDR panorama", | n | ||
274 | "id": "1bcf56d3-bfbe-4b75-acfe-67ea3cd3e031", | ||||
275 | "name": "HDR panorama", | ||||
276 | "state": "active", | ||||
277 | "vocabulary_id": null | ||||
278 | }, | ||||
279 | { | ||||
280 | "display_name": "Image analysis", | ||||
281 | "id": "394b7bef-f926-450e-af60-3e89f97adbd8", | ||||
282 | "name": "Image analysis", | ||||
283 | "state": "active", | ||||
284 | "vocabulary_id": null | ||||
285 | }, | ||||
286 | { | ||||
287 | "display_name": "Image-Text Pairs", | ||||
288 | "id": "7948d39b-c9d3-4b48-a8d7-5daf17b9c778", | ||||
289 | "name": "Image-Text Pairs", | ||||
290 | "state": "active", | ||||
291 | "vocabulary_id": null | ||||
292 | }, | ||||
293 | { | ||||
294 | "display_name": "Image-Text Retrieval", | ||||
295 | "id": "471f7774-07c4-490a-9372-d14b316a12f5", | ||||
296 | "name": "Image-Text Retrieval", | ||||
297 | "state": "active", | ||||
298 | "vocabulary_id": null | ||||
299 | }, | ||||
300 | { | ||||
301 | "display_name": "Image-text dataset", | ||||
302 | "id": "b0a1364c-edd4-4fab-aa78-212404a3c89a", | ||||
303 | "name": "Image-text dataset", | ||||
304 | "state": "active", | ||||
305 | "vocabulary_id": null | ||||
306 | }, | ||||
307 | { | ||||
308 | "display_name": "ImageNet", | ||||
309 | "id": "114653a3-d688-42fb-8e76-350752af988b", | ||||
310 | "name": "ImageNet", | ||||
311 | "state": "active", | ||||
312 | "vocabulary_id": null | ||||
313 | }, | ||||
314 | { | ||||
315 | "display_name": "LAION-400M", | 131 | "display_name": "LaION-400M", | ||
316 | "id": "7d8ebd0b-ff6e-40e0-a86d-d89c12864a6e", | 132 | "id": "a19e7a5e-5c43-4d68-ba3b-83dd05ddbb2b", | ||
317 | "name": "LAION-400M", | 133 | "name": "LaION-400M", | ||
318 | "state": "active", | ||||
319 | "vocabulary_id": null | ||||
320 | }, | ||||
321 | { | ||||
322 | "display_name": "Large Scale", | ||||
323 | "id": "9d0a7af8-406e-4d7d-b558-ac2b45093bbf", | ||||
324 | "name": "Large Scale", | ||||
325 | "state": "active", | ||||
326 | "vocabulary_id": null | ||||
327 | }, | ||||
328 | { | ||||
329 | "display_name": "Pairs", | ||||
330 | "id": "eab1ada7-a385-4e7f-b10b-b24a927e6d6e", | ||||
331 | "name": "Pairs", | ||||
332 | "state": "active", | ||||
333 | "vocabulary_id": null | ||||
334 | }, | ||||
335 | { | ||||
336 | "display_name": "RGBD images", | ||||
337 | "id": "6edec8c5-5ca0-42ef-8aeb-0312496f7646", | ||||
338 | "name": "RGBD images", | ||||
339 | "state": "active", | ||||
340 | "vocabulary_id": null | ||||
341 | }, | ||||
342 | { | ||||
343 | "display_name": "Supervised Learning", | ||||
344 | "id": "c9b3e945-e089-41af-91d1-cea0adbbd0f5", | ||||
345 | "name": "Supervised Learning", | ||||
346 | "state": "active", | ||||
347 | "vocabulary_id": null | ||||
348 | }, | ||||
349 | { | ||||
350 | "display_name": "Text analysis", | ||||
351 | "id": "7484298f-bbbb-4212-95c2-1027ab4855fa", | ||||
352 | "name": "Text analysis", | ||||
353 | "state": "active", | ||||
354 | "vocabulary_id": null | ||||
355 | }, | ||||
356 | { | ||||
357 | "display_name": "Unstructured data", | ||||
358 | "id": "1cb975af-0b00-4c3e-8a8d-a4936ef6437b", | ||||
359 | "name": "Unstructured data", | ||||
360 | "state": "active", | ||||
361 | "vocabulary_id": null | ||||
362 | }, | ||||
363 | { | ||||
364 | "display_name": "Zero-Shot Learning", | ||||
365 | "id": "58aa0947-1223-4d3f-95d1-d825399bc3b6", | ||||
366 | "name": "Zero-Shot Learning", | ||||
367 | "state": "active", | 134 | "state": "active", | ||
368 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
369 | }, | 136 | }, | ||
370 | { | 137 | { | ||
371 | "display_name": "dataset", | 138 | "display_name": "dataset", | ||
372 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 139 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | ||
373 | "name": "dataset", | 140 | "name": "dataset", | ||
374 | "state": "active", | 141 | "state": "active", | ||
375 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
376 | }, | 143 | }, | ||
377 | { | 144 | { | ||
n | 378 | "display_name": "depth estimation", | n | 145 | "display_name": "diverse images", |
379 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | 146 | "id": "19140078-9432-4e2c-b156-d45da38604f3", | ||
380 | "name": "depth estimation", | 147 | "name": "diverse images", | ||
381 | "state": "active", | 148 | "state": "active", | ||
382 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
383 | }, | 150 | }, | ||
384 | { | 151 | { | ||
n | 385 | "display_name": "image captioning", | n | 152 | "display_name": "high-quality images", |
386 | "id": "f1bbe827-a03a-4280-b9fa-0599ccfc0541", | 153 | "id": "3761d4b0-93f6-4548-bdb6-0e0881fc5a20", | ||
387 | "name": "image captioning", | 154 | "name": "high-quality images", | ||
388 | "state": "active", | 155 | "state": "active", | ||
389 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
390 | }, | 157 | }, | ||
391 | { | 158 | { | ||
n | 392 | "display_name": "image-text dataset", | n | ||
393 | "id": "c336f98a-4e26-4b43-aea0-8fb569af8588", | ||||
394 | "name": "image-text dataset", | ||||
395 | "state": "active", | ||||
396 | "vocabulary_id": null | ||||
397 | }, | ||||
398 | { | ||||
399 | "display_name": "image-text matching", | 159 | "display_name": "image generation", | ||
400 | "id": "75c56b7d-ab6b-4dd8-88f8-67e92928dca0", | 160 | "id": "96df81b4-32fd-4826-a903-affb005a0a60", | ||
401 | "name": "image-text matching", | 161 | "name": "image generation", | ||
402 | "state": "active", | 162 | "state": "active", | ||
403 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
404 | }, | 164 | }, | ||
405 | { | 165 | { | ||
406 | "display_name": "image-text pairs", | 166 | "display_name": "image-text pairs", | ||
407 | "id": "07cb3691-65c6-4b58-b3bf-5290980a86e3", | 167 | "id": "07cb3691-65c6-4b58-b3bf-5290980a86e3", | ||
408 | "name": "image-text pairs", | 168 | "name": "image-text pairs", | ||
409 | "state": "active", | 169 | "state": "active", | ||
410 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
411 | }, | 171 | }, | ||
412 | { | 172 | { | ||
n | 413 | "display_name": "large-scale dataset", | n | ||
414 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||||
415 | "name": "large-scale dataset", | ||||
416 | "state": "active", | ||||
417 | "vocabulary_id": null | ||||
418 | }, | ||||
419 | { | ||||
420 | "display_name": "text-driven", | ||||
421 | "id": "30501abd-d917-4784-95ec-fedcd3d67719", | ||||
422 | "name": "text-driven", | ||||
423 | "state": "active", | ||||
424 | "vocabulary_id": null | ||||
425 | }, | ||||
426 | { | ||||
427 | "display_name": "text-to-image", | 173 | "display_name": "text-to-image synthesis", | ||
428 | "id": "0b0e2f9a-321b-4b04-abc6-14130f66400c", | 174 | "id": "c37dcb7d-7577-4b8f-95ae-252797eb5cce", | ||
429 | "name": "text-to-image", | 175 | "name": "text-to-image synthesis", | ||
430 | "state": "active", | ||||
431 | "vocabulary_id": null | ||||
432 | }, | ||||
433 | { | ||||
434 | "display_name": "vision-and-language models", | ||||
435 | "id": "7645deef-42d9-4294-a894-9829f9c04122", | ||||
436 | "name": "vision-and-language models", | ||||
437 | "state": "active", | 176 | "state": "active", | ||
438 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
439 | }, | 178 | }, | ||
440 | { | 179 | { | ||
441 | "display_name": "vision-language models", | 180 | "display_name": "vision-language models", | ||
442 | "id": "f02eea8d-0e99-468f-884c-6fcdf16465ce", | 181 | "id": "f02eea8d-0e99-468f-884c-6fcdf16465ce", | ||
443 | "name": "vision-language models", | 182 | "name": "vision-language models", | ||
444 | "state": "active", | 183 | "state": "active", | ||
445 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
n | 446 | }, | n | ||
447 | { | ||||
448 | "display_name": "visual question answering", | ||||
449 | "id": "8be24887-e029-464f-b56c-1d0a460e2005", | ||||
450 | "name": "visual question answering", | ||||
451 | "state": "active", | ||||
452 | "vocabulary_id": null | ||||
453 | } | 185 | } | ||
454 | ], | 186 | ], | ||
t | 455 | "title": "LAION-400M", | t | 187 | "title": "LaION-400M", |
456 | "type": "dataset", | 188 | "type": "dataset", | ||
457 | "version": "" | 189 | "version": "" | ||
458 | } | 190 | } |