Changes
On December 2, 2024 at 10:29:14 PM UTC, admin:
-
Changed title to Fashion-Mnist (previously Fashion-MNIST)
-
Set author of Fashion-Mnist to Enlu Lin (previously Han Xiao)
-
Updated description of Fashion-Mnist from
Deep learning models often raise privacy concerns as they leak information about their training data. This enables an adversary to determine whether a data point was in a model’s training set by conducting a membership inference attack (MIA).
toA binary imbalanced classification dataset with 28 × 28 grayscale images of 10 classes corresponding to fashion products.
-
Removed the following tags from Fashion-Mnist
- MNIST
- Image Dataset
- gray-scale images
- Image classification
- Handwritten digits
- Computer Vision
- 28x28 images
- fashion-mnist
- image classification
- Images
- novel dataset
- Handwritten Digits
- MNIST Dataset
- Fashion images
- Machine learning benchmark
- Image Reconstruction
- Variational Autoencoders
- regression
- Clothing
- article of clothing
- 10 classes
- benchmarking
- fashion image classification
- Fashion-MNIST Dataset
- Fashion-MNIST
- Fashion Image Recognition
- Space-filling Curves
- articles of clothing
- Fashion Recognition
- mnist
- fashion-related items
- Fashion products
- Deep Learning
- Dataset
- image generation
- deep learning
- clothing recognition
- grayscale images
- Fashion Images
- Fashion MNIST
- fashion images
- fashion products
- Image Synthesis
- context
- Grayscale Images
- Label Noise
- Fashion Image Classification
- Fashion Products
- Data Analysis
- fashion mnist
- Image Clustering
- Clustering
- Image Compression
- data generation
- object detection
- Neural Networks
- clothing items
- Turbid Media
- fashion items
- mode coverage
- Multiclass Learning
- Fashion
- fashion
- handwritten digits
-
Added tag Fashion Product Recognition to Fashion-Mnist
-
Changed value of field
defined_in
to in Fashion-Mnist -
Changed value of field
landing_page
tohttps://www.fashion-mnist.s3-website.eu-central-1.amazonaws.com/
in Fashion-Mnist -
Changed value of field
citation
to[]
in Fashion-Mnist -
Changed value of field
extra_authors
to[{'extra_author': 'Qiong Chen', 'orcid': ''}, {'extra_author': 'Xiaoming Qi', 'orcid': ''}]
in Fashion-Mnist -
Deleted resource Original Metadata from Fashion-Mnist
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Han Xiao", | n | 3 | "author": "Enlu Lin", |
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n | 5 | "citation": [ | n | 5 | "citation": [], |
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77 | "doi": "10.57702/09tnix2m", | 8 | "doi": "10.57702/09tnix2m", | ||
78 | "doi_date_published": "2024-11-25", | 9 | "doi_date_published": "2024-11-25", | ||
79 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
80 | "doi_status": true, | 11 | "doi_status": true, | ||
81 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
82 | "extra_authors": [ | 13 | "extra_authors": [ | ||
83 | { | 14 | { | ||
n | 84 | "extra_author": "Kashif Rasul", | n | 15 | "extra_author": "Qiong Chen", |
85 | "orcid": "" | 16 | "orcid": "" | ||
86 | }, | 17 | }, | ||
87 | { | 18 | { | ||
n | 88 | "extra_author": "Roland Vollgraf", | n | 19 | "extra_author": "Xiaoming Qi", |
89 | "orcid": "" | 20 | "orcid": "" | ||
90 | } | 21 | } | ||
91 | ], | 22 | ], | ||
92 | "groups": [ | 23 | "groups": [ | ||
n | 93 | { | n | ||
94 | "description": "", | ||||
95 | "display_name": "Clustering", | ||||
96 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | ||||
97 | "image_display_url": "", | ||||
98 | "name": "clustering", | ||||
99 | "title": "Clustering" | ||||
100 | }, | ||||
101 | { | ||||
102 | "description": "", | ||||
103 | "display_name": "Data Analysis", | ||||
104 | "id": "35c3e6f8-4eea-4811-a1f6-66c5ba164f17", | ||||
105 | "image_display_url": "", | ||||
106 | "name": "data-analysis", | ||||
107 | "title": "Data Analysis" | ||||
108 | }, | ||||
109 | { | ||||
110 | "description": "", | ||||
111 | "display_name": "Data Generation", | ||||
112 | "id": "6339ea07-5bd0-4086-b3da-8574560dfd06", | ||||
113 | "image_display_url": "", | ||||
114 | "name": "data-generation", | ||||
115 | "title": "Data Generation" | ||||
116 | }, | ||||
117 | { | ||||
118 | "description": "", | ||||
119 | "display_name": "Data-driven SFCs", | ||||
120 | "id": "44088a78-703e-4d7e-a3f7-ce2a6eb7fc15", | ||||
121 | "image_display_url": "", | ||||
122 | "name": "data-driven-sfcs", | ||||
123 | "title": "Data-driven SFCs" | ||||
124 | }, | ||||
125 | { | ||||
126 | "description": "", | ||||
127 | "display_name": "Fashion Image Classification", | ||||
128 | "id": "277eb4df-0ba0-49de-9a84-271a0215b744", | ||||
129 | "image_display_url": "", | ||||
130 | "name": "fashion-image-classification", | ||||
131 | "title": "Fashion Image Classification" | ||||
132 | }, | ||||
133 | { | ||||
134 | "description": "", | ||||
135 | "display_name": "Fashion Image Clustering", | ||||
136 | "id": "9b23962d-57a5-4a67-b002-4072e64eef89", | ||||
137 | "image_display_url": "", | ||||
138 | "name": "fashion-image-clustering", | ||||
139 | "title": "Fashion Image Clustering" | ||||
140 | }, | ||||
141 | { | ||||
142 | "description": "", | ||||
143 | "display_name": "Fashion Image Recognition", | ||||
144 | "id": "d1c2672a-574c-48c9-8e74-b6e5ec173573", | ||||
145 | "image_display_url": "", | ||||
146 | "name": "fashion-image-recognition", | ||||
147 | "title": "Fashion Image Recognition" | ||||
148 | }, | ||||
149 | { | ||||
150 | "description": "", | ||||
151 | "display_name": "Fashion Images", | ||||
152 | "id": "3b42fdf9-32c6-4685-b1cb-465ac9fc72e6", | ||||
153 | "image_display_url": "", | ||||
154 | "name": "fashion-images", | ||||
155 | "title": "Fashion Images" | ||||
156 | }, | ||||
157 | { | ||||
158 | "description": "", | ||||
159 | "display_name": "Fashion Products", | ||||
160 | "id": "b442bece-3635-47dd-893c-8a0e8187bd45", | ||||
161 | "image_display_url": "", | ||||
162 | "name": "fashion-products", | ||||
163 | "title": "Fashion Products" | ||||
164 | }, | ||||
165 | { | 24 | { | ||
166 | "description": "", | 25 | "description": "", | ||
167 | "display_name": "Image Classification", | 26 | "display_name": "Image Classification", | ||
168 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 27 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
169 | "image_display_url": "", | 28 | "image_display_url": "", | ||
170 | "name": "image-classification", | 29 | "name": "image-classification", | ||
171 | "title": "Image Classification" | 30 | "title": "Image Classification" | ||
n | 172 | }, | n | ||
173 | { | ||||
174 | "description": "", | ||||
175 | "display_name": "Image Compression", | ||||
176 | "id": "094941e1-ba8a-4742-a18e-4da139345758", | ||||
177 | "image_display_url": "", | ||||
178 | "name": "image-compression", | ||||
179 | "title": "Image Compression" | ||||
180 | }, | ||||
181 | { | ||||
182 | "description": "", | ||||
183 | "display_name": "Image Dataset", | ||||
184 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | ||||
185 | "image_display_url": "", | ||||
186 | "name": "image-dataset", | ||||
187 | "title": "Image Dataset" | ||||
188 | }, | ||||
189 | { | ||||
190 | "description": "", | ||||
191 | "display_name": "Image Generation", | ||||
192 | "id": "be25a76c-def1-4e73-8b1c-b81222d63867", | ||||
193 | "image_display_url": "", | ||||
194 | "name": "image-generation", | ||||
195 | "title": "Image Generation" | ||||
196 | }, | ||||
197 | { | ||||
198 | "description": "", | ||||
199 | "display_name": "Image Reconstruction", | ||||
200 | "id": "a5660c19-3526-4e91-a26d-cf3cd40fe985", | ||||
201 | "image_display_url": "", | ||||
202 | "name": "image-reconstruction", | ||||
203 | "title": "Image Reconstruction" | ||||
204 | }, | ||||
205 | { | ||||
206 | "description": "", | ||||
207 | "display_name": "Image Synthesis", | ||||
208 | "id": "8b89ca6b-96f7-439b-8045-febd38230620", | ||||
209 | "image_display_url": "", | ||||
210 | "name": "image-synthesis", | ||||
211 | "title": "Image Synthesis" | ||||
212 | }, | ||||
213 | { | ||||
214 | "description": "", | ||||
215 | "display_name": "Images", | ||||
216 | "id": "45883730-52c6-44ac-bea8-d50c9cbc8882", | ||||
217 | "image_display_url": "", | ||||
218 | "name": "images", | ||||
219 | "title": "Images" | ||||
220 | }, | ||||
221 | { | ||||
222 | "description": "", | ||||
223 | "display_name": "Mode Coverage", | ||||
224 | "id": "e7e4eaf4-2fca-4d0e-a157-5a45ff96feca", | ||||
225 | "image_display_url": "", | ||||
226 | "name": "mode-coverage", | ||||
227 | "title": "Mode Coverage" | ||||
228 | }, | ||||
229 | { | ||||
230 | "description": "", | ||||
231 | "display_name": "Object Detection", | ||||
232 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||||
233 | "image_display_url": "", | ||||
234 | "name": "object-detection", | ||||
235 | "title": "Object Detection" | ||||
236 | }, | ||||
237 | { | ||||
238 | "description": "", | ||||
239 | "display_name": "Regression", | ||||
240 | "id": "36d9eacb-af2f-490b-a390-0dffafc2b613", | ||||
241 | "image_display_url": "", | ||||
242 | "name": "regression", | ||||
243 | "title": "Regression" | ||||
244 | } | 31 | } | ||
245 | ], | 32 | ], | ||
246 | "id": "e2ec2721-ee1d-4654-a765-bacb94f0b4ff", | 33 | "id": "e2ec2721-ee1d-4654-a765-bacb94f0b4ff", | ||
247 | "isopen": false, | 34 | "isopen": false, | ||
n | 248 | "landing_page": "https://fashion-mnist.s3.eu-west-2.amazonaws.com/", | n | 35 | "landing_page": |
36 | "https://www.fashion-mnist.s3-website.eu-central-1.amazonaws.com/", | ||||
249 | "license_title": null, | 37 | "license_title": null, | ||
250 | "link_orkg": "", | 38 | "link_orkg": "", | ||
251 | "metadata_created": "2024-11-25T14:21:53.155983", | 39 | "metadata_created": "2024-11-25T14:21:53.155983", | ||
n | 252 | "metadata_modified": "2024-12-02T17:43:26.065973", | n | 40 | "metadata_modified": "2024-12-02T22:29:13.240834", |
253 | "name": "fashion-mnist", | 41 | "name": "fashion-mnist", | ||
n | 254 | "notes": "Deep learning models often raise privacy concerns as they | n | 42 | "notes": "A binary imbalanced classification dataset with 28 \u00d7 |
255 | leak information about their training data. This enables an adversary | 43 | 28 grayscale images of 10 classes corresponding to fashion products.", | ||
256 | to determine whether a data point was in a model\u2019s training set | ||||
257 | by conducting a membership inference attack (MIA).", | ||||
258 | "num_resources": 1, | 44 | "num_resources": 0, | ||
259 | "num_tags": 65, | 45 | "num_tags": 2, | ||
260 | "organization": { | 46 | "organization": { | ||
261 | "approval_status": "approved", | 47 | "approval_status": "approved", | ||
262 | "created": "2024-11-25T12:11:38.292601", | 48 | "created": "2024-11-25T12:11:38.292601", | ||
263 | "description": "", | 49 | "description": "", | ||
264 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 50 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
265 | "image_url": "", | 51 | "image_url": "", | ||
266 | "is_organization": true, | 52 | "is_organization": true, | ||
267 | "name": "no-organization", | 53 | "name": "no-organization", | ||
268 | "state": "active", | 54 | "state": "active", | ||
269 | "title": "No Organization", | 55 | "title": "No Organization", | ||
270 | "type": "organization" | 56 | "type": "organization" | ||
271 | }, | 57 | }, | ||
272 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 58 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
273 | "private": false, | 59 | "private": false, | ||
274 | "relationships_as_object": [], | 60 | "relationships_as_object": [], | ||
275 | "relationships_as_subject": [], | 61 | "relationships_as_subject": [], | ||
n | 276 | "resources": [ | n | 62 | "resources": [], |
277 | { | ||||
278 | "cache_last_updated": null, | ||||
279 | "cache_url": null, | ||||
280 | "created": "2024-12-02T18:38:42", | ||||
281 | "data": [ | ||||
282 | "dcterms:title", | ||||
283 | "dcterms:accessRights", | ||||
284 | "dcterms:creator", | ||||
285 | "dcterms:description", | ||||
286 | "dcterms:issued", | ||||
287 | "dcterms:language", | ||||
288 | "dcterms:identifier", | ||||
289 | "dcat:theme", | ||||
290 | "dcterms:type", | ||||
291 | "dcat:keyword", | ||||
292 | "dcat:landingPage", | ||||
293 | "dcterms:hasVersion", | ||||
294 | "dcterms:format", | ||||
295 | "mls:task", | ||||
296 | "datacite:isDescribedBy" | ||||
297 | ], | ||||
298 | "description": "The json representation of the dataset with its | ||||
299 | distributions based on DCAT.", | ||||
300 | "format": "JSON", | ||||
301 | "hash": "", | ||||
302 | "id": "f3960fc1-44e7-464f-8e97-81483649baa0", | ||||
303 | "last_modified": "2024-12-02T17:43:26.049227", | ||||
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305 | "mimetype": "application/json", | ||||
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307 | "name": "Original Metadata", | ||||
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311 | "size": 4754, | ||||
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318 | "services_used_list": "", | 63 | "services_used_list": "", | ||
319 | "state": "active", | 64 | "state": "active", | ||
320 | "tags": [ | 65 | "tags": [ | ||
321 | { | 66 | { | ||
n | 322 | "display_name": "10 classes", | n | ||
323 | "id": "27184294-34cf-4db9-bd03-124330f0f1ae", | ||||
324 | "name": "10 classes", | ||||
325 | "state": "active", | ||||
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328 | { | ||||
329 | "display_name": "28x28 images", | ||||
330 | "id": "2695c5dc-b056-48a7-8e82-20b10db74daf", | ||||
331 | "name": "28x28 images", | ||||
332 | "state": "active", | ||||
333 | "vocabulary_id": null | ||||
334 | }, | ||||
335 | { | ||||
336 | "display_name": "Clothing", | ||||
337 | "id": "4549dd6c-375d-47b7-bf42-62c970a579b0", | ||||
338 | "name": "Clothing", | ||||
339 | "state": "active", | ||||
340 | "vocabulary_id": null | ||||
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342 | { | ||||
343 | "display_name": "Clustering", | ||||
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369 | }, | ||||
370 | { | ||||
371 | "display_name": "Deep Learning", | ||||
372 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | ||||
373 | "name": "Deep Learning", | ||||
374 | "state": "active", | ||||
375 | "vocabulary_id": null | ||||
376 | }, | ||||
377 | { | ||||
378 | "display_name": "Fashion", | ||||
379 | "id": "60b92d10-0ed2-47a6-9b9d-12224d07e8f4", | ||||
380 | "name": "Fashion", | ||||
381 | "state": "active", | ||||
382 | "vocabulary_id": null | ||||
383 | }, | ||||
384 | { | ||||
385 | "display_name": "Fashion Image Classification", | ||||
386 | "id": "503016d4-b9f9-42e7-b2ca-5e6e7790cffb", | ||||
387 | "name": "Fashion Image Classification", | ||||
388 | "state": "active", | ||||
389 | "vocabulary_id": null | ||||
390 | }, | ||||
391 | { | ||||
392 | "display_name": "Fashion Image Recognition", | ||||
393 | "id": "c952e276-c23e-42be-8764-d837d5fae026", | ||||
394 | "name": "Fashion Image Recognition", | ||||
395 | "state": "active", | ||||
396 | "vocabulary_id": null | ||||
397 | }, | ||||
398 | { | ||||
399 | "display_name": "Fashion Images", | ||||
400 | "id": "73e43cea-1b39-499d-ad80-1951e230e8fe", | ||||
401 | "name": "Fashion Images", | ||||
402 | "state": "active", | ||||
403 | "vocabulary_id": null | ||||
404 | }, | ||||
405 | { | ||||
406 | "display_name": "Fashion MNIST", | ||||
407 | "id": "481cb1c1-ca49-4b9c-a2e2-79956658a317", | ||||
408 | "name": "Fashion MNIST", | ||||
409 | "state": "active", | ||||
410 | "vocabulary_id": null | ||||
411 | }, | ||||
412 | { | ||||
413 | "display_name": "Fashion Products", | ||||
414 | "id": "4b81d71c-001e-40c5-9cfb-25b904185b27", | ||||
415 | "name": "Fashion Products", | ||||
416 | "state": "active", | ||||
417 | "vocabulary_id": null | ||||
418 | }, | ||||
419 | { | ||||
420 | "display_name": "Fashion Recognition", | 67 | "display_name": "Fashion Product Recognition", | ||
421 | "id": "bda3d6c5-e4bb-424d-9840-4001ceb94894", | 68 | "id": "5426861e-708c-46d7-9190-a9104b2f73a8", | ||
422 | "name": "Fashion Recognition", | 69 | "name": "Fashion Product Recognition", | ||
423 | "state": "active", | ||||
424 | "vocabulary_id": null | ||||
425 | }, | ||||
426 | { | ||||
427 | "display_name": "Fashion images", | ||||
428 | "id": "a8d05a3e-743d-40c4-9f29-daf376f43a62", | ||||
429 | "name": "Fashion images", | ||||
430 | "state": "active", | ||||
431 | "vocabulary_id": null | ||||
432 | }, | ||||
433 | { | ||||
434 | "display_name": "Fashion products", | ||||
435 | "id": "1b8aeded-a287-4d97-b330-498829b3c5fb", | ||||
436 | "name": "Fashion products", | ||||
437 | "state": "active", | ||||
438 | "vocabulary_id": null | ||||
439 | }, | ||||
440 | { | ||||
441 | "display_name": "Fashion-MNIST", | ||||
442 | "id": "25de34be-be41-4a78-8a71-7c842dd33717", | ||||
443 | "name": "Fashion-MNIST", | ||||
444 | "state": "active", | ||||
445 | "vocabulary_id": null | ||||
446 | }, | ||||
447 | { | ||||
448 | "display_name": "Fashion-MNIST Dataset", | ||||
449 | "id": "15a8a1c6-f72d-495c-9cba-cd62021cc55c", | ||||
450 | "name": "Fashion-MNIST Dataset", | ||||
451 | "state": "active", | ||||
452 | "vocabulary_id": null | ||||
453 | }, | ||||
454 | { | ||||
455 | "display_name": "Grayscale Images", | ||||
456 | "id": "fd68d4a5-f7cd-4857-a2b2-2b42062da0ed", | ||||
457 | "name": "Grayscale Images", | ||||
458 | "state": "active", | ||||
459 | "vocabulary_id": null | ||||
460 | }, | ||||
461 | { | ||||
462 | "display_name": "Handwritten Digits", | ||||
463 | "id": "b3c7b8c0-33b0-41bd-808c-86ddf60ea462", | ||||
464 | "name": "Handwritten Digits", | ||||
465 | "state": "active", | ||||
466 | "vocabulary_id": null | ||||
467 | }, | ||||
468 | { | ||||
469 | "display_name": "Handwritten digits", | ||||
470 | "id": "c9588036-f297-4a2e-973c-aa8edc53c915", | ||||
471 | "name": "Handwritten digits", | ||||
472 | "state": "active", | 70 | "state": "active", | ||
473 | "vocabulary_id": null | 71 | "vocabulary_id": null | ||
474 | }, | 72 | }, | ||
475 | { | 73 | { | ||
476 | "display_name": "Image Classification", | 74 | "display_name": "Image Classification", | ||
477 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 75 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
478 | "name": "Image Classification", | 76 | "name": "Image Classification", | ||
479 | "state": "active", | 77 | "state": "active", | ||
480 | "vocabulary_id": null | 78 | "vocabulary_id": null | ||
n | 481 | }, | n | ||
482 | { | ||||
483 | "display_name": "Image Clustering", | ||||
484 | "id": "297c9070-e77d-409a-a54d-b2bb9de447a4", | ||||
485 | "name": "Image Clustering", | ||||
486 | "state": "active", | ||||
487 | "vocabulary_id": null | ||||
488 | }, | ||||
489 | { | ||||
490 | "display_name": "Image Compression", | ||||
491 | "id": "9319a62c-672c-4d44-a6ef-7d18ec5ba2b7", | ||||
492 | "name": "Image Compression", | ||||
493 | "state": "active", | ||||
494 | "vocabulary_id": null | ||||
495 | }, | ||||
496 | { | ||||
497 | "display_name": "Image Dataset", | ||||
498 | "id": "51aed645-6dd9-4e08-894a-10944ecefd8b", | ||||
499 | "name": "Image Dataset", | ||||
500 | "state": "active", | ||||
501 | "vocabulary_id": null | ||||
502 | }, | ||||
503 | { | ||||
504 | "display_name": "Image Reconstruction", | ||||
505 | "id": "58a95e75-15cc-4634-ba1c-d89302691ee4", | ||||
506 | "name": "Image Reconstruction", | ||||
507 | "state": "active", | ||||
508 | "vocabulary_id": null | ||||
509 | }, | ||||
510 | { | ||||
511 | "display_name": "Image Synthesis", | ||||
512 | "id": "8977f03a-9e9f-411c-8e92-d17f6dc7a823", | ||||
513 | "name": "Image Synthesis", | ||||
514 | "state": "active", | ||||
515 | "vocabulary_id": null | ||||
516 | }, | ||||
517 | { | ||||
518 | "display_name": "Image classification", | ||||
519 | "id": "786db19f-59bd-48ee-96c8-dfff6df61746", | ||||
520 | "name": "Image classification", | ||||
521 | "state": "active", | ||||
522 | "vocabulary_id": null | ||||
523 | }, | ||||
524 | { | ||||
525 | "display_name": "Images", | ||||
526 | "id": "b653d5cb-88da-4373-ae34-3b0b41d37fad", | ||||
527 | "name": "Images", | ||||
528 | "state": "active", | ||||
529 | "vocabulary_id": null | ||||
530 | }, | ||||
531 | { | ||||
532 | "display_name": "Label Noise", | ||||
533 | "id": "6bf19170-c5df-49c6-aa6b-8cded9ebbdaa", | ||||
534 | "name": "Label Noise", | ||||
535 | "state": "active", | ||||
536 | "vocabulary_id": null | ||||
537 | }, | ||||
538 | { | ||||
539 | "display_name": "MNIST", | ||||
540 | "id": "838793b8-c317-4ab1-a17a-da040a636305", | ||||
541 | "name": "MNIST", | ||||
542 | "state": "active", | ||||
543 | "vocabulary_id": null | ||||
544 | }, | ||||
545 | { | ||||
546 | "display_name": "MNIST Dataset", | ||||
547 | "id": "1a0b4693-071e-41df-a03c-1b8d00c688b2", | ||||
548 | "name": "MNIST Dataset", | ||||
549 | "state": "active", | ||||
550 | "vocabulary_id": null | ||||
551 | }, | ||||
552 | { | ||||
553 | "display_name": "Machine learning benchmark", | ||||
554 | "id": "cd94d104-b772-40b5-8951-e28f5d5dfc34", | ||||
555 | "name": "Machine learning benchmark", | ||||
556 | "state": "active", | ||||
557 | "vocabulary_id": null | ||||
558 | }, | ||||
559 | { | ||||
560 | "display_name": "Multiclass Learning", | ||||
561 | "id": "68be6649-159a-41ed-ad43-6ab35e7426bb", | ||||
562 | "name": "Multiclass Learning", | ||||
563 | "state": "active", | ||||
564 | "vocabulary_id": null | ||||
565 | }, | ||||
566 | { | ||||
567 | "display_name": "Neural Networks", | ||||
568 | "id": "b8e60d98-1c66-40d1-b944-74216c2bd378", | ||||
569 | "name": "Neural Networks", | ||||
570 | "state": "active", | ||||
571 | "vocabulary_id": null | ||||
572 | }, | ||||
573 | { | ||||
574 | "display_name": "Space-filling Curves", | ||||
575 | "id": "54385023-c9d2-4f31-81b0-ef0d06ba4cdb", | ||||
576 | "name": "Space-filling Curves", | ||||
577 | "state": "active", | ||||
578 | "vocabulary_id": null | ||||
579 | }, | ||||
580 | { | ||||
581 | "display_name": "Turbid Media", | ||||
582 | "id": "8f46f431-ab4b-4c3f-ad1a-ac0bacfa3010", | ||||
583 | "name": "Turbid Media", | ||||
584 | "state": "active", | ||||
585 | "vocabulary_id": null | ||||
586 | }, | ||||
587 | { | ||||
588 | "display_name": "Variational Autoencoders", | ||||
589 | "id": "971a62a2-3ca1-47bb-8737-4b4f4cef03ff", | ||||
590 | "name": "Variational Autoencoders", | ||||
591 | "state": "active", | ||||
592 | "vocabulary_id": null | ||||
593 | }, | ||||
594 | { | ||||
595 | "display_name": "article of clothing", | ||||
596 | "id": "30353e7f-95c5-4cf1-a3bd-c453021e59da", | ||||
597 | "name": "article of clothing", | ||||
598 | "state": "active", | ||||
599 | "vocabulary_id": null | ||||
600 | }, | ||||
601 | { | ||||
602 | "display_name": "articles of clothing", | ||||
603 | "id": "829c55fe-480c-4bc8-86b0-66fb24d43476", | ||||
604 | "name": "articles of clothing", | ||||
605 | "state": "active", | ||||
606 | "vocabulary_id": null | ||||
607 | }, | ||||
608 | { | ||||
609 | "display_name": "benchmarking", | ||||
610 | "id": "d9f3d223-10a3-41fb-9231-bed79d8943c0", | ||||
611 | "name": "benchmarking", | ||||
612 | "state": "active", | ||||
613 | "vocabulary_id": null | ||||
614 | }, | ||||
615 | { | ||||
616 | "display_name": "clothing items", | ||||
617 | "id": "fc9567f4-ab18-4317-aa6b-ec5ebac2a731", | ||||
618 | "name": "clothing items", | ||||
619 | "state": "active", | ||||
620 | "vocabulary_id": null | ||||
621 | }, | ||||
622 | { | ||||
623 | "display_name": "clothing recognition", | ||||
624 | "id": "0e87a0f8-fba9-450a-9c61-38bda939747b", | ||||
625 | "name": "clothing recognition", | ||||
626 | "state": "active", | ||||
627 | "vocabulary_id": null | ||||
628 | }, | ||||
629 | { | ||||
630 | "display_name": "context", | ||||
631 | "id": "201a528e-8e79-4e2f-bdd4-08d8be4d1a14", | ||||
632 | "name": "context", | ||||
633 | "state": "active", | ||||
634 | "vocabulary_id": null | ||||
635 | }, | ||||
636 | { | ||||
637 | "display_name": "data generation", | ||||
638 | "id": "19197a49-84ae-4e84-9adc-4259511072e0", | ||||
639 | "name": "data generation", | ||||
640 | "state": "active", | ||||
641 | "vocabulary_id": null | ||||
642 | }, | ||||
643 | { | ||||
644 | "display_name": "deep learning", | ||||
645 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||||
646 | "name": "deep learning", | ||||
647 | "state": "active", | ||||
648 | "vocabulary_id": null | ||||
649 | }, | ||||
650 | { | ||||
651 | "display_name": "fashion", | ||||
652 | "id": "d0cb2d67-aeb2-4629-bc32-db590d2dbef1", | ||||
653 | "name": "fashion", | ||||
654 | "state": "active", | ||||
655 | "vocabulary_id": null | ||||
656 | }, | ||||
657 | { | ||||
658 | "display_name": "fashion image classification", | ||||
659 | "id": "e75da055-f7dd-42fe-ad8d-e1d84cda8674", | ||||
660 | "name": "fashion image classification", | ||||
661 | "state": "active", | ||||
662 | "vocabulary_id": null | ||||
663 | }, | ||||
664 | { | ||||
665 | "display_name": "fashion images", | ||||
666 | "id": "d0b75716-748f-429e-a546-cee6ae2ac23d", | ||||
667 | "name": "fashion images", | ||||
668 | "state": "active", | ||||
669 | "vocabulary_id": null | ||||
670 | }, | ||||
671 | { | ||||
672 | "display_name": "fashion items", | ||||
673 | "id": "03876056-d325-4070-9734-7df3666347a8", | ||||
674 | "name": "fashion items", | ||||
675 | "state": "active", | ||||
676 | "vocabulary_id": null | ||||
677 | }, | ||||
678 | { | ||||
679 | "display_name": "fashion mnist", | ||||
680 | "id": "391380c6-71cf-4837-ad6b-0c4eeccb80e1", | ||||
681 | "name": "fashion mnist", | ||||
682 | "state": "active", | ||||
683 | "vocabulary_id": null | ||||
684 | }, | ||||
685 | { | ||||
686 | "display_name": "fashion products", | ||||
687 | "id": "18d81f16-7aec-4f30-8ca1-b46136bfc0fa", | ||||
688 | "name": "fashion products", | ||||
689 | "state": "active", | ||||
690 | "vocabulary_id": null | ||||
691 | }, | ||||
692 | { | ||||
693 | "display_name": "fashion-mnist", | ||||
694 | "id": "fe6ec053-2b2c-4a1f-b04b-81b45737e1d1", | ||||
695 | "name": "fashion-mnist", | ||||
696 | "state": "active", | ||||
697 | "vocabulary_id": null | ||||
698 | }, | ||||
699 | { | ||||
700 | "display_name": "fashion-related items", | ||||
701 | "id": "c4b743f6-331d-4ba6-b14e-71b9095d6d2d", | ||||
702 | "name": "fashion-related items", | ||||
703 | "state": "active", | ||||
704 | "vocabulary_id": null | ||||
705 | }, | ||||
706 | { | ||||
707 | "display_name": "gray-scale images", | ||||
708 | "id": "184c64af-d895-4398-bc32-ad64bb7cbdb3", | ||||
709 | "name": "gray-scale images", | ||||
710 | "state": "active", | ||||
711 | "vocabulary_id": null | ||||
712 | }, | ||||
713 | { | ||||
714 | "display_name": "grayscale images", | ||||
715 | "id": "048a064a-b106-4ed1-8fce-f4601e87883d", | ||||
716 | "name": "grayscale images", | ||||
717 | "state": "active", | ||||
718 | "vocabulary_id": null | ||||
719 | }, | ||||
720 | { | ||||
721 | "display_name": "handwritten digits", | ||||
722 | "id": "4b365062-55da-4f9e-ac9c-6e1a6e3dc58f", | ||||
723 | "name": "handwritten digits", | ||||
724 | "state": "active", | ||||
725 | "vocabulary_id": null | ||||
726 | }, | ||||
727 | { | ||||
728 | "display_name": "image classification", | ||||
729 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||||
730 | "name": "image classification", | ||||
731 | "state": "active", | ||||
732 | "vocabulary_id": null | ||||
733 | }, | ||||
734 | { | ||||
735 | "display_name": "image generation", | ||||
736 | "id": "96df81b4-32fd-4826-a903-affb005a0a60", | ||||
737 | "name": "image generation", | ||||
738 | "state": "active", | ||||
739 | "vocabulary_id": null | ||||
740 | }, | ||||
741 | { | ||||
742 | "display_name": "mnist", | ||||
743 | "id": "dcd90d91-b7f1-4680-a134-11d322bf169e", | ||||
744 | "name": "mnist", | ||||
745 | "state": "active", | ||||
746 | "vocabulary_id": null | ||||
747 | }, | ||||
748 | { | ||||
749 | "display_name": "mode coverage", | ||||
750 | "id": "f78a7750-6225-4cd8-a2d1-cb89727fe716", | ||||
751 | "name": "mode coverage", | ||||
752 | "state": "active", | ||||
753 | "vocabulary_id": null | ||||
754 | }, | ||||
755 | { | ||||
756 | "display_name": "novel dataset", | ||||
757 | "id": "fcda8944-7908-4675-b981-2829050d5349", | ||||
758 | "name": "novel dataset", | ||||
759 | "state": "active", | ||||
760 | "vocabulary_id": null | ||||
761 | }, | ||||
762 | { | ||||
763 | "display_name": "object detection", | ||||
764 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||||
765 | "name": "object detection", | ||||
766 | "state": "active", | ||||
767 | "vocabulary_id": null | ||||
768 | }, | ||||
769 | { | ||||
770 | "display_name": "regression", | ||||
771 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | ||||
772 | "name": "regression", | ||||
773 | "state": "active", | ||||
774 | "vocabulary_id": null | ||||
775 | } | 79 | } | ||
776 | ], | 80 | ], | ||
t | 777 | "title": "Fashion-MNIST", | t | 81 | "title": "Fashion-Mnist", |
778 | "type": "dataset", | 82 | "type": "dataset", | ||
779 | "version": "" | 83 | "version": "" | ||
780 | } | 84 | } |