Changes
On December 2, 2024 at 5:53:38 PM UTC,
admin:
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Changed title to CIFAR-10 Dataset (previously CIFAR-10 dataset)
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Set author of CIFAR-10 Dataset to Alex Krizhevsky (previously Dennis Diefenbach)
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Updated description of CIFAR-10 Dataset from
The dataset used in the paper is the CIFAR-10 dataset, a classic dataset for image classification. The authors used this dataset to train and evaluate their proposed method for goal-oriented sensitivity analysis of hyperparameters in deep learning.
toThe dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method.
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Removed the following tags from CIFAR-10 Dataset
- Classification
- Images from 10 classes
- Image Dataset
- Object Classification
- data heterogeneity
- image dataset
- Image data
- cifar-10
- Computer Vision
- convolutional neural networks
- object classification
- 32-by-32 pixels
- natural objects
- CIFAR-10 dataset
- low-confidence examples
- Dataset
- deep learning
- objects
- Computer vision
- object recognition
- Objects
- Small Dataset
- Image
- 32x32 images
- ten classes
- 3 color channels
- Object recognition
- softmax-classification
- Deep Learning
- Multiclass classification
- Machine learning
- Deep neural networks
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Added the following tags to CIFAR-10 Dataset
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2302.02373
in CIFAR-10 Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Ilya Sutskever', 'orcid': ''}, {'extra_author': 'Geoffrey Hinton', 'orcid': ''}]
in CIFAR-10 Dataset -
Changed value of field
citation
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in CIFAR-10 Dataset -
Changed value of field
landing_page
tohttp://www.cs.toronto.edu/~kriz/cifar.html
in CIFAR-10 Dataset -
Deleted resource Original Metadata from CIFAR-10 Dataset
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| 209 | classic dataset for image classification. The authors used this | 87 | the authors used it to test the performance of their lookahead pruning | ||
| 210 | dataset to train and evaluate their proposed method for goal-oriented | 88 | method.", | ||
| 211 | sensitivity analysis of hyperparameters in deep learning.", | ||||
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| 281 | }, | 117 | }, | ||
| 282 | { | 118 | { | ||
| 283 | "display_name": "10 classes", | 119 | "display_name": "10 classes", | ||
| 284 | "id": "27184294-34cf-4db9-bd03-124330f0f1ae", | 120 | "id": "27184294-34cf-4db9-bd03-124330f0f1ae", | ||
| 285 | "name": "10 classes", | 121 | "name": "10 classes", | ||
| 286 | "state": "active", | 122 | "state": "active", | ||
| 287 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
| 288 | }, | 124 | }, | ||
| 289 | { | 125 | { | ||
| n | 290 | "display_name": "3 color channels", | n | ||
| 291 | "id": "f5e7ab06-a47d-4757-8136-bb1151633c84", | ||||
| 292 | "name": "3 color channels", | ||||
| 293 | "state": "active", | ||||
| 294 | "vocabulary_id": null | ||||
| 295 | }, | ||||
| 296 | { | ||||
| 297 | "display_name": "32-by-32 pixels", | ||||
| 298 | "id": "2098bb37-a07f-419f-9e53-155fa8f10293", | ||||
| 299 | "name": "32-by-32 pixels", | ||||
| 300 | "state": "active", | ||||
| 301 | "vocabulary_id": null | ||||
| 302 | }, | ||||
| 303 | { | ||||
| 304 | "display_name": "32x32", | 126 | "display_name": "32x32", | ||
| 305 | "id": "64b77942-f8d7-42ec-9ce4-d3187bed090b", | 127 | "id": "64b77942-f8d7-42ec-9ce4-d3187bed090b", | ||
| 306 | "name": "32x32", | 128 | "name": "32x32", | ||
| 307 | "state": "active", | 129 | "state": "active", | ||
| 308 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
| 309 | }, | 131 | }, | ||
| 310 | { | 132 | { | ||
| n | 311 | "display_name": "32x32 images", | n | ||
| 312 | "id": "bf2e36bc-8737-4905-a435-6852bd40df74", | ||||
| 313 | "name": "32x32 images", | ||||
| 314 | "state": "active", | ||||
| 315 | "vocabulary_id": null | ||||
| 316 | }, | ||||
| 317 | { | ||||
| 318 | "display_name": "CIFAR-10", | 133 | "display_name": "CIFAR-10", | ||
| 319 | "id": "f5393d47-2cf2-4e47-a699-68f41ec85846", | 134 | "id": "f5393d47-2cf2-4e47-a699-68f41ec85846", | ||
| 320 | "name": "CIFAR-10", | 135 | "name": "CIFAR-10", | ||
| 321 | "state": "active", | 136 | "state": "active", | ||
| 322 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
| 323 | }, | 138 | }, | ||
| 324 | { | 139 | { | ||
| n | 325 | "display_name": "CIFAR-10 dataset", | n | 140 | "display_name": "CIFAR-10 Dataset", |
| 326 | "id": "4f47920c-a72d-44f1-8d95-6edcc8550c86", | 141 | "id": "40f1aa98-a5ca-46f8-a75c-b766974d804a", | ||
| 327 | "name": "CIFAR-10 dataset", | 142 | "name": "CIFAR-10 Dataset", | ||
| 328 | "state": "active", | ||||
| 329 | "vocabulary_id": null | ||||
| 330 | }, | ||||
| 331 | { | ||||
| 332 | "display_name": "Classification", | ||||
| 333 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||||
| 334 | "name": "Classification", | ||||
| 335 | "state": "active", | 143 | "state": "active", | ||
| 336 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
| 337 | }, | 145 | }, | ||
| 338 | { | 146 | { | ||
| 339 | "display_name": "Color Images", | 147 | "display_name": "Color Images", | ||
| 340 | "id": "8716abaf-4c10-4ec1-847a-95d814f0df44", | 148 | "id": "8716abaf-4c10-4ec1-847a-95d814f0df44", | ||
| 341 | "name": "Color Images", | 149 | "name": "Color Images", | ||
| 342 | "state": "active", | 150 | "state": "active", | ||
| 343 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
| 344 | }, | 152 | }, | ||
| 345 | { | 153 | { | ||
| n | 346 | "display_name": "Computer Vision", | n | ||
| 347 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||||
| 348 | "name": "Computer Vision", | ||||
| 349 | "state": "active", | ||||
| 350 | "vocabulary_id": null | ||||
| 351 | }, | ||||
| 352 | { | ||||
| 353 | "display_name": "Computer vision", | ||||
| 354 | "id": "4c7f3390-b5b7-4476-ba59-f5551656e121", | ||||
| 355 | "name": "Computer vision", | ||||
| 356 | "state": "active", | ||||
| 357 | "vocabulary_id": null | ||||
| 358 | }, | ||||
| 359 | { | ||||
| 360 | "display_name": "Dataset", | ||||
| 361 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | ||||
| 362 | "name": "Dataset", | ||||
| 363 | "state": "active", | ||||
| 364 | "vocabulary_id": null | ||||
| 365 | }, | ||||
| 366 | { | ||||
| 367 | "display_name": "Deep Learning", | ||||
| 368 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | ||||
| 369 | "name": "Deep Learning", | ||||
| 370 | "state": "active", | ||||
| 371 | "vocabulary_id": null | ||||
| 372 | }, | ||||
| 373 | { | ||||
| 374 | "display_name": "Deep neural networks", | ||||
| 375 | "id": "a19bfae7-983b-48d2-a88f-1bc1c93acff8", | ||||
| 376 | "name": "Deep neural networks", | ||||
| 377 | "state": "active", | ||||
| 378 | "vocabulary_id": null | ||||
| 379 | }, | ||||
| 380 | { | ||||
| 381 | "display_name": "Image", | ||||
| 382 | "id": "ca701146-4139-43fe-a114-4f31ab3d20a1", | ||||
| 383 | "name": "Image", | ||||
| 384 | "state": "active", | ||||
| 385 | "vocabulary_id": null | ||||
| 386 | }, | ||||
| 387 | { | ||||
| 388 | "display_name": "Image Classification", | 154 | "display_name": "Image Classification", | ||
| 389 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 155 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
| 390 | "name": "Image Classification", | 156 | "name": "Image Classification", | ||
| 391 | "state": "active", | 157 | "state": "active", | ||
| 392 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
| 393 | }, | 159 | }, | ||
| 394 | { | 160 | { | ||
| n | 395 | "display_name": "Image Dataset", | n | 161 | "display_name": "Image Recognition", |
| 396 | "id": "51aed645-6dd9-4e08-894a-10944ecefd8b", | 162 | "id": "2cc216cd-24af-483e-8e50-6fcd86cf89ac", | ||
| 397 | "name": "Image Dataset", | 163 | "name": "Image Recognition", | ||
| 398 | "state": "active", | 164 | "state": "active", | ||
| 399 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
| 400 | }, | 166 | }, | ||
| 401 | { | 167 | { | ||
| 402 | "display_name": "Image classification", | 168 | "display_name": "Image classification", | ||
| 403 | "id": "786db19f-59bd-48ee-96c8-dfff6df61746", | 169 | "id": "786db19f-59bd-48ee-96c8-dfff6df61746", | ||
| 404 | "name": "Image classification", | 170 | "name": "Image classification", | ||
| 405 | "state": "active", | 171 | "state": "active", | ||
| 406 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
| 407 | }, | 173 | }, | ||
| 408 | { | 174 | { | ||
| n | 409 | "display_name": "Image data", | n | ||
| 410 | "id": "51bd023c-940c-41f0-846d-2bd5caa772a4", | ||||
| 411 | "name": "Image data", | ||||
| 412 | "state": "active", | ||||
| 413 | "vocabulary_id": null | ||||
| 414 | }, | ||||
| 415 | { | ||||
| 416 | "display_name": "Images", | 175 | "display_name": "Images", | ||
| 417 | "id": "b653d5cb-88da-4373-ae34-3b0b41d37fad", | 176 | "id": "b653d5cb-88da-4373-ae34-3b0b41d37fad", | ||
| 418 | "name": "Images", | 177 | "name": "Images", | ||
| 419 | "state": "active", | 178 | "state": "active", | ||
| 420 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
| 421 | }, | 180 | }, | ||
| 422 | { | 181 | { | ||
| n | 423 | "display_name": "Images from 10 classes", | n | 182 | "display_name": "Natural Scenes", |
| 424 | "id": "5b5550d0-8055-4f71-8a15-55507c72cfe2", | 183 | "id": "d14771a8-3da1-4222-b791-2330cd45a8c4", | ||
| 425 | "name": "Images from 10 classes", | 184 | "name": "Natural Scenes", | ||
| 426 | "state": "active", | ||||
| 427 | "vocabulary_id": null | ||||
| 428 | }, | ||||
| 429 | { | ||||
| 430 | "display_name": "Machine learning", | ||||
| 431 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | ||||
| 432 | "name": "Machine learning", | ||||
| 433 | "state": "active", | ||||
| 434 | "vocabulary_id": null | ||||
| 435 | }, | ||||
| 436 | { | ||||
| 437 | "display_name": "Multiclass classification", | ||||
| 438 | "id": "2d6b627f-9a3c-4296-ab46-98dfa5c4d917", | ||||
| 439 | "name": "Multiclass classification", | ||||
| 440 | "state": "active", | 185 | "state": "active", | ||
| 441 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
| 442 | }, | 187 | }, | ||
| 443 | { | 188 | { | ||
| 444 | "display_name": "Object Classification", | 189 | "display_name": "Object Classification", | ||
| 445 | "id": "b04e5bd7-f108-4123-8c16-68c67ae2fe31", | 190 | "id": "b04e5bd7-f108-4123-8c16-68c67ae2fe31", | ||
| 446 | "name": "Object Classification", | 191 | "name": "Object Classification", | ||
| 447 | "state": "active", | 192 | "state": "active", | ||
| 448 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
| 449 | }, | 194 | }, | ||
| 450 | { | 195 | { | ||
| n | 451 | "display_name": "Object Classi\ufb01cation", | n | ||
| 452 | "id": "fa16e756-2685-4dc4-8d0b-42f1f0d7676b", | ||||
| 453 | "name": "Object Classi\ufb01cation", | ||||
| 454 | "state": "active", | ||||
| 455 | "vocabulary_id": null | ||||
| 456 | }, | ||||
| 457 | { | ||||
| 458 | "display_name": "Object Recognition", | 196 | "display_name": "Object Recognition", | ||
| 459 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | 197 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||
| 460 | "name": "Object Recognition", | 198 | "name": "Object Recognition", | ||
| 461 | "state": "active", | 199 | "state": "active", | ||
| 462 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
| 463 | }, | 201 | }, | ||
| 464 | { | 202 | { | ||
| n | 465 | "display_name": "Object recognition", | n | ||
| 466 | "id": "52052816-97ee-4de1-bfb9-2097add55ede", | ||||
| 467 | "name": "Object recognition", | ||||
| 468 | "state": "active", | ||||
| 469 | "vocabulary_id": null | ||||
| 470 | }, | ||||
| 471 | { | ||||
| 472 | "display_name": "Objects", | 203 | "display_name": "Object images", | ||
| 473 | "id": "941e8d1d-d007-4c4b-a948-cea8e8703af0", | 204 | "id": "bb897130-ea16-4576-b5bc-0d403199c235", | ||
| 474 | "name": "Objects", | 205 | "name": "Object images", | ||
| 475 | "state": "active", | 206 | "state": "active", | ||
| 476 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
| 477 | }, | 208 | }, | ||
| 478 | { | 209 | { | ||
| n | 479 | "display_name": "Small Dataset", | n | 210 | "display_name": "Photographic Images", |
| 480 | "id": "abd1ab29-446c-49ba-9085-12db21d5c889", | 211 | "id": "cdf205cf-195f-45ee-9109-6aab790032d1", | ||
| 481 | "name": "Small Dataset", | 212 | "name": "Photographic Images", | ||
| 482 | "state": "active", | ||||
| 483 | "vocabulary_id": null | ||||
| 484 | }, | ||||
| 485 | { | ||||
| 486 | "display_name": "cifar-10", | ||||
| 487 | "id": "3ffb418f-1190-4573-8707-4336677a6931", | ||||
| 488 | "name": "cifar-10", | ||||
| 489 | "state": "active", | 213 | "state": "active", | ||
| 490 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
| 491 | }, | 215 | }, | ||
| 492 | { | 216 | { | ||
| 493 | "display_name": "color images", | 217 | "display_name": "color images", | ||
| 494 | "id": "1f1a5c61-7481-4978-b445-7348044eead6", | 218 | "id": "1f1a5c61-7481-4978-b445-7348044eead6", | ||
| 495 | "name": "color images", | 219 | "name": "color images", | ||
| 496 | "state": "active", | 220 | "state": "active", | ||
| 497 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
| 498 | }, | 222 | }, | ||
| 499 | { | 223 | { | ||
| n | 500 | "display_name": "convolutional neural networks", | n | ||
| 501 | "id": "84ee1255-0c3e-4697-8c35-a177efdf4b6d", | ||||
| 502 | "name": "convolutional neural networks", | ||||
| 503 | "state": "active", | ||||
| 504 | "vocabulary_id": null | ||||
| 505 | }, | ||||
| 506 | { | ||||
| 507 | "display_name": "data heterogeneity", | ||||
| 508 | "id": "0e908407-8840-4247-9cca-cfc039047eb0", | ||||
| 509 | "name": "data heterogeneity", | ||||
| 510 | "state": "active", | ||||
| 511 | "vocabulary_id": null | ||||
| 512 | }, | ||||
| 513 | { | ||||
| 514 | "display_name": "deep learning", | ||||
| 515 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||||
| 516 | "name": "deep learning", | ||||
| 517 | "state": "active", | ||||
| 518 | "vocabulary_id": null | ||||
| 519 | }, | ||||
| 520 | { | ||||
| 521 | "display_name": "image classification", | 224 | "display_name": "image classification", | ||
| 522 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | 225 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||
| 523 | "name": "image classification", | 226 | "name": "image classification", | ||
| 524 | "state": "active", | 227 | "state": "active", | ||
| 525 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
| 526 | }, | 229 | }, | ||
| 527 | { | 230 | { | ||
| n | 528 | "display_name": "image dataset", | n | ||
| 529 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | ||||
| 530 | "name": "image dataset", | ||||
| 531 | "state": "active", | ||||
| 532 | "vocabulary_id": null | ||||
| 533 | }, | ||||
| 534 | { | ||||
| 535 | "display_name": "image recognition", | 231 | "display_name": "image recognition", | ||
| 536 | "id": "5dbee310-ce23-4ee3-b86b-0ad4c203b2a6", | 232 | "id": "5dbee310-ce23-4ee3-b86b-0ad4c203b2a6", | ||
| 537 | "name": "image recognition", | 233 | "name": "image recognition", | ||
| 538 | "state": "active", | 234 | "state": "active", | ||
| 539 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
| 540 | }, | 236 | }, | ||
| 541 | { | 237 | { | ||
| 542 | "display_name": "images", | 238 | "display_name": "images", | ||
| 543 | "id": "40152090-cbbf-4339-b7d3-f14b68cb7621", | 239 | "id": "40152090-cbbf-4339-b7d3-f14b68cb7621", | ||
| 544 | "name": "images", | 240 | "name": "images", | ||
| 545 | "state": "active", | 241 | "state": "active", | ||
| 546 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
| n | 547 | }, | n | ||
| 548 | { | ||||
| 549 | "display_name": "low-con\ufb01dence examples", | ||||
| 550 | "id": "cc8a9316-242a-465d-81c5-11c46127bf34", | ||||
| 551 | "name": "low-con\ufb01dence examples", | ||||
| 552 | "state": "active", | ||||
| 553 | "vocabulary_id": null | ||||
| 554 | }, | ||||
| 555 | { | ||||
| 556 | "display_name": "natural objects", | ||||
| 557 | "id": "0c570b79-a091-4252-b238-32c156614a6a", | ||||
| 558 | "name": "natural objects", | ||||
| 559 | "state": "active", | ||||
| 560 | "vocabulary_id": null | ||||
| 561 | }, | ||||
| 562 | { | ||||
| 563 | "display_name": "object classification", | ||||
| 564 | "id": "25b11f7f-115e-4d5b-b294-abacfd7e53c0", | ||||
| 565 | "name": "object classification", | ||||
| 566 | "state": "active", | ||||
| 567 | "vocabulary_id": null | ||||
| 568 | }, | ||||
| 569 | { | ||||
| 570 | "display_name": "object recognition", | ||||
| 571 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | ||||
| 572 | "name": "object recognition", | ||||
| 573 | "state": "active", | ||||
| 574 | "vocabulary_id": null | ||||
| 575 | }, | ||||
| 576 | { | ||||
| 577 | "display_name": "objects", | ||||
| 578 | "id": "f17dd48b-b837-4763-aa45-717926d57398", | ||||
| 579 | "name": "objects", | ||||
| 580 | "state": "active", | ||||
| 581 | "vocabulary_id": null | ||||
| 582 | }, | ||||
| 583 | { | ||||
| 584 | "display_name": "softmax-classi\ufb01cation", | ||||
| 585 | "id": "cfdb900d-f0a6-4f71-9b21-1bb30d692755", | ||||
| 586 | "name": "softmax-classi\ufb01cation", | ||||
| 587 | "state": "active", | ||||
| 588 | "vocabulary_id": null | ||||
| 589 | }, | ||||
| 590 | { | ||||
| 591 | "display_name": "ten classes", | ||||
| 592 | "id": "7f715d62-e6d6-4fac-b9c2-cc0c43c69ed3", | ||||
| 593 | "name": "ten classes", | ||||
| 594 | "state": "active", | ||||
| 595 | "vocabulary_id": null | ||||
| 596 | } | 243 | } | ||
| 597 | ], | 244 | ], | ||
| t | 598 | "title": "CIFAR-10 dataset", | t | 245 | "title": "CIFAR-10 Dataset", |
| 599 | "type": "dataset", | 246 | "type": "dataset", | ||
| 600 | "version": "" | 247 | "version": "" | ||
| 601 | } | 248 | } |