Path
stringlengths 22
36
| Category
stringclasses 5
values | Label
stringlengths 7
223
| Noise Density
int64 10
90
| Speckle Size
int64 1
3
| Frame Count
int64 37
1.86k
| FPS
float64 17.8
60
| Duration
float64 1
35
| Movement Type
stringclasses 2
values | video
video |
|---|---|---|---|---|---|---|---|---|---|
dynamic/words/6b8c75811862.mp4
|
words
|
['search']
| 45
| 1
| 326
| 60
| 5.43
|
dynamic
| |
dynamic/words/820833522063.mp4
|
words
|
['convolution']
| 57
| 1
| 346
| 60
| 5.77
|
dynamic
| |
dynamic/words/555b43e60103.mp4
|
words
|
['attention']
| 70
| 1
| 419
| 60
| 6.98
|
dynamic
| |
dynamic/words/4b662c5b5d0d.mp4
|
words
|
['kernel']
| 57
| 1
| 311
| 60
| 5.18
|
dynamic
| |
dynamic/words/92c2f35fb3d5.mp4
|
words
|
['expressivity']
| 57
| 1
| 518
| 60
| 8.63
|
dynamic
| |
dynamic/words/7f55e6156276.mp4
|
words
|
['spooky']
| 45
| 1
| 599
| 60
| 9.98
|
dynamic
| |
dynamic/words/1e36cb1c3348.mp4
|
words
|
['observation']
| 45
| 1
| 555
| 60
| 9.25
|
dynamic
| |
dynamic/words/3d6a23c0aba1.mp4
|
words
|
['intelligence']
| 57
| 1
| 371
| 60
| 6.18
|
dynamic
| |
dynamic/words/f687bdb38336.mp4
|
words
|
['optimize']
| 45
| 1
| 457
| 60
| 7.62
|
dynamic
| |
dynamic/words/735c8af586d7.mp4
|
words
|
['inference']
| 45
| 1
| 492
| 60
| 8.2
|
dynamic
| |
dynamic/words/50cb7c30b893.mp4
|
words
|
['matrix']
| 57
| 1
| 461
| 60
| 7.68
|
dynamic
| |
dynamic/words/0e8f302f0c04.mp4
|
words
|
['alignment']
| 57
| 1
| 484
| 60
| 8.07
|
dynamic
| |
dynamic/words/514a2955ba8d.mp4
|
words
|
['decoder']
| 70
| 1
| 458
| 60
| 7.63
|
dynamic
| |
dynamic/words/f92ac7cc0f3a.mp4
|
words
|
['activation']
| 57
| 1
| 382
| 60
| 6.37
|
dynamic
| |
dynamic/words/158a06dd5b8e.mp4
|
words
|
['generation']
| 70
| 1
| 426
| 60
| 7.1
|
dynamic
| |
dynamic/words/92b22e3f721e.mp4
|
words
|
['optimization']
| 45
| 1
| 451
| 60
| 7.52
|
dynamic
| |
dynamic/words/ff181b097b95.mp4
|
words
|
['compression']
| 70
| 1
| 303
| 60
| 5.05
|
dynamic
| |
dynamic/words/448752156aa5.mp4
|
words
|
['inference']
| 70
| 1
| 585
| 60
| 9.75
|
dynamic
| |
dynamic/words/d4f03b2a1a42.mp4
|
words
|
['environment']
| 45
| 1
| 362
| 60
| 6.03
|
dynamic
| |
dynamic/words/a94e33c5687b.mp4
|
words
|
['human']
| 70
| 1
| 464
| 60
| 7.73
|
dynamic
| |
dynamic/words/7b8cc44b3462.mp4
|
words
|
['search']
| 70
| 1
| 344
| 60
| 5.73
|
dynamic
| |
dynamic/words/f5cf2e48d4aa.mp4
|
words
|
['multimodal']
| 70
| 1
| 333
| 60
| 5.55
|
dynamic
| |
dynamic/words/78f60bb748ba.mp4
|
words
|
['learning']
| 45
| 1
| 541
| 60
| 9.02
|
dynamic
| |
dynamic/words/08f51a611840.mp4
|
words
|
['fusion']
| 70
| 1
| 545
| 60
| 9.08
|
dynamic
| |
dynamic/words/360346739672.mp4
|
words
|
['analysis']
| 45
| 1
| 512
| 60
| 8.53
|
dynamic
| |
dynamic/words/e3591921dc6e.mp4
|
words
|
['concrete']
| 45
| 1
| 315
| 60
| 5.25
|
dynamic
| |
dynamic/words/9187d35bdd5d.mp4
|
words
|
['temporal']
| 57
| 1
| 570
| 60
| 9.5
|
dynamic
| |
dynamic/words/4813310ab23c.mp4
|
words
|
['algorithm']
| 45
| 1
| 300
| 60
| 5
|
dynamic
| |
dynamic/words/b1443b7126fb.mp4
|
words
|
['backprop']
| 45
| 1
| 383
| 60
| 6.38
|
dynamic
| |
dynamic/words/0f1f0eb160d1.mp4
|
words
|
['tracking']
| 57
| 1
| 362
| 60
| 6.03
|
dynamic
| |
dynamic/words/29ddbc2934de.mp4
|
words
|
['expressivity']
| 45
| 1
| 319
| 60
| 5.32
|
dynamic
| |
dynamic/words/4f5714f0b1e3.mp4
|
words
|
['symbolic']
| 45
| 1
| 557
| 60
| 9.28
|
dynamic
| |
dynamic/words/ba4e6b68ce4c.mp4
|
words
|
['fusion']
| 57
| 1
| 447
| 60
| 7.45
|
dynamic
| |
dynamic/words/5a99fae81b9e.mp4
|
words
|
['state']
| 57
| 1
| 376
| 60
| 6.27
|
dynamic
| |
dynamic/words/eae12272aee0.mp4
|
words
|
['optimization']
| 70
| 1
| 568
| 60
| 9.47
|
dynamic
| |
dynamic/words/c06017638ea7.mp4
|
words
|
['generation']
| 45
| 1
| 443
| 60
| 7.38
|
dynamic
| |
dynamic/words/63941be2a0dc.mp4
|
words
|
['objective']
| 45
| 1
| 302
| 60
| 5.03
|
dynamic
| |
dynamic/words/f7ca2a4941a0.mp4
|
words
|
['logic']
| 57
| 1
| 380
| 60
| 6.33
|
dynamic
| |
dynamic/words/6ddf32a2d5d4.mp4
|
words
|
['abstract']
| 57
| 1
| 451
| 60
| 7.52
|
dynamic
| |
dynamic/words/7270fd4461cb.mp4
|
words
|
['accuracy']
| 57
| 1
| 562
| 60
| 9.37
|
dynamic
| |
dynamic/words/b5d09262f37f.mp4
|
words
|
['overfitting']
| 70
| 1
| 407
| 60
| 6.78
|
dynamic
| |
dynamic/words/59df850bdfc8.mp4
|
words
|
['artificial']
| 70
| 1
| 438
| 60
| 7.3
|
dynamic
| |
dynamic/words/90a87a735cb8.mp4
|
words
|
['classifier']
| 57
| 1
| 388
| 60
| 6.47
|
dynamic
| |
dynamic/words/9ca90d9ce240.mp4
|
words
|
['algorithm']
| 70
| 1
| 320
| 60
| 5.33
|
dynamic
| |
dynamic/words/b6ac7a918868.mp4
|
words
|
['perception']
| 70
| 1
| 319
| 60
| 5.32
|
dynamic
| |
dynamic/words/d3897f1129e4.mp4
|
words
|
['backprop']
| 57
| 1
| 446
| 60
| 7.43
|
dynamic
| |
dynamic/words/55f4b74aa336.mp4
|
words
|
['connection']
| 70
| 1
| 545
| 60
| 9.08
|
dynamic
| |
dynamic/words/9aa4f2004c09.mp4
|
words
|
['activation']
| 45
| 1
| 578
| 60
| 9.63
|
dynamic
| |
dynamic/words/6fba5b3aa57c.mp4
|
words
|
['augment']
| 57
| 1
| 522
| 60
| 8.7
|
dynamic
| |
dynamic/words/baa85f187002.mp4
|
words
|
['training']
| 70
| 1
| 350
| 60
| 5.83
|
dynamic
| |
dynamic/words/0742e4a4650b.mp4
|
words
|
['intelligence']
| 45
| 1
| 406
| 60
| 6.77
|
dynamic
| |
dynamic/words/28087d5afc45.mp4
|
words
|
['gradient']
| 57
| 1
| 482
| 60
| 8.03
|
dynamic
| |
dynamic/words/9a82b7cb348f.mp4
|
words
|
['bandwidth']
| 45
| 1
| 423
| 60
| 7.05
|
dynamic
| |
dynamic/words/50d789e9894d.mp4
|
words
|
['overfitting']
| 45
| 1
| 558
| 60
| 9.3
|
dynamic
| |
dynamic/words/35305d77dd46.mp4
|
words
|
['tensor']
| 45
| 1
| 329
| 60
| 5.48
|
dynamic
| |
dynamic/words/5f78eac84555.mp4
|
words
|
['width']
| 45
| 1
| 454
| 60
| 7.57
|
dynamic
| |
dynamic/words/19c46e5c2578.mp4
|
words
|
['training']
| 57
| 1
| 482
| 60
| 8.03
|
dynamic
| |
dynamic/words/40921270e61a.mp4
|
words
|
['pooling']
| 70
| 1
| 548
| 60
| 9.13
|
dynamic
| |
dynamic/words/d7a987567c2c.mp4
|
words
|
['vector']
| 70
| 1
| 359
| 60
| 5.98
|
dynamic
| |
dynamic/words/27ff7f24a77c.mp4
|
words
|
['decoding']
| 45
| 1
| 332
| 60
| 5.53
|
dynamic
| |
dynamic/words/1e6c4fe4b0db.mp4
|
words
|
['action']
| 57
| 1
| 335
| 60
| 5.58
|
dynamic
| |
dynamic/words/1fdba6e8a14f.mp4
|
words
|
['regression']
| 70
| 1
| 571
| 60
| 9.52
|
dynamic
| |
dynamic/words/84cb7751a217.mp4
|
words
|
['learning']
| 57
| 1
| 515
| 60
| 8.58
|
dynamic
| |
dynamic/words/d95393c54b47.mp4
|
words
|
['constraint']
| 70
| 1
| 414
| 60
| 6.9
|
dynamic
| |
dynamic/words/f3214d481e01.mp4
|
words
|
['multimodal']
| 45
| 1
| 417
| 60
| 6.95
|
dynamic
| |
dynamic/words/221538826718.mp4
|
words
|
['layer']
| 70
| 1
| 543
| 60
| 9.05
|
dynamic
| |
dynamic/words/45e5b29ce982.mp4
|
words
|
['manifold']
| 70
| 1
| 311
| 60
| 5.18
|
dynamic
| |
dynamic/words/55e1093b7204.mp4
|
words
|
['policy']
| 45
| 1
| 564
| 60
| 9.4
|
dynamic
| |
dynamic/words/b4d3a816422b.mp4
|
words
|
['representation']
| 57
| 1
| 457
| 60
| 7.62
|
dynamic
| |
dynamic/words/d8e39ec134ea.mp4
|
words
|
['vision']
| 70
| 1
| 577
| 60
| 9.62
|
dynamic
| |
dynamic/words/e31e70ba5458.mp4
|
words
|
['finetune']
| 57
| 1
| 597
| 60
| 9.95
|
dynamic
| |
dynamic/words/5f8e98a01481.mp4
|
words
|
['observation']
| 70
| 1
| 540
| 60
| 9
|
dynamic
| |
dynamic/words/7b132e1f40c8.mp4
|
words
|
['analysis']
| 70
| 1
| 590
| 60
| 9.83
|
dynamic
| |
dynamic/words/256f6e1597b5.mp4
|
words
|
['skip']
| 57
| 1
| 596
| 60
| 9.93
|
dynamic
| |
dynamic/words/45195ac593e5.mp4
|
words
|
['subsymbolic']
| 70
| 1
| 364
| 60
| 6.07
|
dynamic
| |
dynamic/words/e2720a8e9de2.mp4
|
words
|
['semantic']
| 70
| 1
| 585
| 60
| 9.75
|
dynamic
| |
dynamic/words/61ff1be33708.mp4
|
words
|
['machine']
| 45
| 1
| 405
| 60
| 6.75
|
dynamic
| |
dynamic/words/88951508d6d2.mp4
|
words
|
['classification']
| 57
| 1
| 306
| 60
| 5.1
|
dynamic
| |
dynamic/words/f0cdd089e187.mp4
|
words
|
['representation']
| 45
| 1
| 317
| 60
| 5.28
|
dynamic
| |
dynamic/words/ffa29e251132.mp4
|
words
|
['precision']
| 45
| 1
| 378
| 60
| 6.3
|
dynamic
| |
dynamic/words/dfc5b5083109.mp4
|
words
|
['encoding']
| 57
| 1
| 426
| 60
| 7.1
|
dynamic
| |
dynamic/words/bcb716541a26.mp4
|
words
|
['pooling']
| 45
| 1
| 305
| 60
| 5.08
|
dynamic
| |
dynamic/words/eb32ea7f7520.mp4
|
words
|
['heuristic']
| 45
| 1
| 433
| 60
| 7.22
|
dynamic
| |
dynamic/words/d6ebd0bad305.mp4
|
words
|
['cognition']
| 70
| 1
| 336
| 60
| 5.6
|
dynamic
| |
dynamic/words/8c0996630560.mp4
|
words
|
['pretrain']
| 70
| 1
| 550
| 60
| 9.17
|
dynamic
| |
dynamic/words/5f3f66f19d87.mp4
|
words
|
['context']
| 57
| 1
| 552
| 60
| 9.2
|
dynamic
| |
dynamic/words/92134e81004a.mp4
|
words
|
['bandwidth']
| 70
| 1
| 548
| 60
| 9.13
|
dynamic
| |
dynamic/words/d4349f71f6f6.mp4
|
words
|
['generalize']
| 45
| 1
| 433
| 60
| 7.22
|
dynamic
| |
dynamic/words/99faf4ef3574.mp4
|
words
|
['spooky']
| 57
| 1
| 516
| 60
| 8.6
|
dynamic
| |
dynamic/words/d58356f13193.mp4
|
words
|
['concrete']
| 57
| 1
| 413
| 60
| 6.88
|
dynamic
| |
dynamic/words/0c236d070aa0.mp4
|
words
|
['heuristic']
| 57
| 1
| 575
| 60
| 9.58
|
dynamic
| |
dynamic/words/583fe0885fc4.mp4
|
words
|
['validation']
| 45
| 1
| 400
| 60
| 6.67
|
dynamic
| |
dynamic/words/942e6c594e7c.mp4
|
words
|
['vision']
| 45
| 1
| 355
| 60
| 5.92
|
dynamic
| |
dynamic/words/4f99ac878dd5.mp4
|
words
|
['syntactic']
| 70
| 1
| 527
| 60
| 8.78
|
dynamic
| |
dynamic/words/a93854a9bcf7.mp4
|
words
|
['robustness']
| 70
| 1
| 415
| 60
| 6.92
|
dynamic
| |
dynamic/words/8cbf626cbdf6.mp4
|
words
|
['matrix']
| 45
| 1
| 437
| 60
| 7.28
|
dynamic
| |
dynamic/words/30e8982e69b1.mp4
|
words
|
['alignment']
| 45
| 1
| 544
| 60
| 9.07
|
dynamic
| |
dynamic/words/d19d6bf5afe4.mp4
|
words
|
['inference']
| 57
| 1
| 389
| 60
| 6.48
|
dynamic
| |
dynamic/words/2559c4bac269.mp4
|
words
|
['width']
| 70
| 1
| 389
| 60
| 6.48
|
dynamic
| |
dynamic/words/9a2810c2371c.mp4
|
words
|
['manifold']
| 57
| 1
| 492
| 60
| 8.2
|
dynamic
|
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