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/0549d60fe638.mp4
|
words
|
['alignment']
| 70
| 1
| 309
| 60
| 5.15
|
dynamic
| |
dynamic/words/66f55010f7bd.mp4
|
words
|
['reward']
| 45
| 1
| 478
| 60
| 7.97
|
dynamic
| |
dynamic/words/d42910b226e9.mp4
|
words
|
['syntactic']
| 45
| 1
| 348
| 60
| 5.8
|
dynamic
| |
dynamic/words/b01742807a19.mp4
|
words
|
['activation']
| 70
| 1
| 512
| 60
| 8.53
|
dynamic
| |
dynamic/words/4c9f5ce4e329.mp4
|
words
|
['skip']
| 70
| 1
| 452
| 60
| 7.53
|
dynamic
| |
dynamic/words/e01b5dc48da7.mp4
|
words
|
['inductive']
| 57
| 1
| 558
| 60
| 9.3
|
dynamic
| |
dynamic/words/bf9d444af6d0.mp4
|
words
|
['intelligence']
| 70
| 1
| 486
| 60
| 8.1
|
dynamic
| |
dynamic/words/9a79fc015b70.mp4
|
words
|
['depth']
| 57
| 1
| 517
| 60
| 8.62
|
dynamic
| |
dynamic/words/694ba90726de.mp4
|
words
|
['geometry']
| 57
| 1
| 341
| 60
| 5.68
|
dynamic
| |
dynamic/words/d1c1494169bb.mp4
|
words
|
['compute']
| 57
| 1
| 321
| 60
| 5.35
|
dynamic
| |
dynamic/words/f8d8c3c5e1e8.mp4
|
words
|
['finetune']
| 70
| 1
| 513
| 60
| 8.55
|
dynamic
| |
dynamic/words/0f3004742431.mp4
|
words
|
['multimodal']
| 57
| 1
| 377
| 60
| 6.28
|
dynamic
| |
dynamic/words/a337afef88e9.mp4
|
words
|
['validation']
| 70
| 1
| 345
| 60
| 5.75
|
dynamic
| |
dynamic/words/155c05c309c3.mp4
|
words
|
['decoding']
| 70
| 1
| 365
| 60
| 6.08
|
dynamic
| |
dynamic/words/fa76405e6185.mp4
|
words
|
['detection']
| 70
| 1
| 475
| 60
| 7.92
|
dynamic
| |
dynamic/words/edaa9942834a.mp4
|
words
|
['augment']
| 45
| 1
| 345
| 60
| 5.75
|
dynamic
| |
dynamic/words/60b0dd78b1cf.mp4
|
words
|
['normalization']
| 70
| 1
| 388
| 60
| 6.47
|
dynamic
| |
dynamic/words/ce671d7592e2.mp4
|
words
|
['optimization']
| 57
| 1
| 469
| 60
| 7.82
|
dynamic
| |
dynamic/words/4b17c307175d.mp4
|
words
|
['detection']
| 45
| 1
| 348
| 60
| 5.8
|
dynamic
| |
dynamic/words/8954390fc254.mp4
|
words
|
['manifold']
| 45
| 1
| 511
| 60
| 8.52
|
dynamic
| |
dynamic/words/68aa7f7d9c6b.mp4
|
words
|
['objective']
| 70
| 1
| 484
| 60
| 8.07
|
dynamic
| |
dynamic/words/a43942519ac3.mp4
|
words
|
['semantic']
| 45
| 1
| 505
| 60
| 8.42
|
dynamic
| |
dynamic/words/9d7da35fc463.mp4
|
words
|
['feature']
| 45
| 1
| 495
| 60
| 8.25
|
dynamic
| |
dynamic/words/f34cc87eb632.mp4
|
words
|
['bias']
| 57
| 1
| 558
| 60
| 9.3
|
dynamic
| |
dynamic/words/364780831949.mp4
|
words
|
['kernel']
| 70
| 1
| 597
| 60
| 9.95
|
dynamic
| |
dynamic/words/ea27929c0f33.mp4
|
words
|
['connection']
| 57
| 1
| 565
| 60
| 9.42
|
dynamic
| |
dynamic/words/5fc40dad45e1.mp4
|
words
|
['normalization']
| 45
| 1
| 597
| 60
| 9.95
|
dynamic
| |
dynamic/words/64d558dd4b0c.mp4
|
words
|
['attention']
| 57
| 1
| 599
| 60
| 9.98
|
dynamic
| |
dynamic/words/49b55a8b8a6f.mp4
|
words
|
['throughput']
| 57
| 1
| 512
| 60
| 8.53
|
dynamic
| |
dynamic/words/b4dfbaf95297.mp4
|
words
|
['skip']
| 45
| 1
| 401
| 60
| 6.68
|
dynamic
| |
dynamic/words/1bd6ba8f6e76.mp4
|
words
|
['representation']
| 70
| 1
| 409
| 60
| 6.82
|
dynamic
| |
dynamic/words/e5a5798dd602.mp4
|
words
|
['constraint']
| 57
| 1
| 526
| 60
| 8.77
|
dynamic
| |
dynamic/words/e24152d490e8.mp4
|
words
|
['classifier']
| 45
| 1
| 571
| 60
| 9.52
|
dynamic
| |
dynamic/words/cb7793d9d698.mp4
|
words
|
['finetune']
| 45
| 1
| 563
| 60
| 9.38
|
dynamic
| |
dynamic/words/6da8a23449b2.mp4
|
words
|
['compression']
| 57
| 1
| 534
| 60
| 8.9
|
dynamic
| |
dynamic/words/45c7d2eab16d.mp4
|
words
|
['pretrain']
| 57
| 1
| 412
| 60
| 6.87
|
dynamic
| |
dynamic/words/719098cb63f5.mp4
|
words
|
['layer']
| 45
| 1
| 378
| 60
| 6.3
|
dynamic
| |
dynamic/words/6eb45e2e8fdf.mp4
|
words
|
['inductive']
| 70
| 1
| 449
| 60
| 7.48
|
dynamic
| |
dynamic/words/a7111032c8e7.mp4
|
words
|
['decoder']
| 45
| 1
| 462
| 60
| 7.7
|
dynamic
| |
dynamic/words/9d204bde745c.mp4
|
words
|
['latency']
| 45
| 1
| 565
| 60
| 9.42
|
dynamic
| |
dynamic/words/9d94fa40c473.mp4
|
words
|
['human']
| 57
| 1
| 595
| 60
| 9.92
|
dynamic
| |
dynamic/words/ff16b7a7fe61.mp4
|
words
|
['bandwidth']
| 57
| 1
| 493
| 60
| 8.22
|
dynamic
| |
dynamic/words/25b02843aa31.mp4
|
words
|
['recognition']
| 57
| 1
| 372
| 60
| 6.2
|
dynamic
| |
dynamic/words/880f824eb6b0.mp4
|
words
|
['vector']
| 45
| 1
| 376
| 60
| 6.27
|
dynamic
| |
dynamic/words/664a92190ab6.mp4
|
words
|
['regression']
| 45
| 1
| 358
| 60
| 5.97
|
dynamic
| |
dynamic/words/cfa00eee6dca.mp4
|
words
|
['synthesis']
| 45
| 1
| 482
| 60
| 8.03
|
dynamic
| |
dynamic/words/1722bad25d8c.mp4
|
words
|
['reward']
| 70
| 1
| 369
| 60
| 6.15
|
dynamic
| |
dynamic/words/a9a98165a925.mp4
|
words
|
['loss']
| 45
| 1
| 517
| 60
| 8.62
|
dynamic
| |
dynamic/words/dd5d442d7843.mp4
|
words
|
['topology']
| 57
| 1
| 520
| 60
| 8.67
|
dynamic
| |
dynamic/words/b426acacbfc7.mp4
|
words
|
['residual']
| 57
| 1
| 500
| 60
| 8.33
|
dynamic
| |
dynamic/words/9228d57a9dab.mp4
|
words
|
['recall']
| 57
| 1
| 513
| 60
| 8.55
|
dynamic
| |
dynamic/words/cb52f83cab0c.mp4
|
words
|
['vision']
| 57
| 1
| 540
| 60
| 9
|
dynamic
| |
dynamic/words/20eb37e3ec4a.mp4
|
words
|
['agent']
| 70
| 1
| 365
| 60
| 6.08
|
dynamic
| |
dynamic/words/7a49f945d6e4.mp4
|
words
|
['matrix']
| 70
| 1
| 329
| 60
| 5.48
|
dynamic
| |
dynamic/words/f3de017e0937.mp4
|
words
|
['reasoning']
| 70
| 1
| 492
| 60
| 8.2
|
dynamic
| |
dynamic/words/e42876c645f3.mp4
|
words
|
['neural']
| 70
| 1
| 569
| 60
| 9.48
|
dynamic
| |
dynamic/words/e488f8fb45d8.mp4
|
words
|
['prediction']
| 45
| 1
| 352
| 60
| 5.87
|
dynamic
| |
dynamic/words/2cd71faf7f9c.mp4
|
words
|
['recall']
| 70
| 1
| 594
| 60
| 9.9
|
dynamic
| |
dynamic/words/b3110082f8ac.mp4
|
words
|
['machine']
| 57
| 1
| 596
| 60
| 9.93
|
dynamic
| |
dynamic/words/16adf1d9c9b0.mp4
|
words
|
['parameter']
| 57
| 1
| 301
| 60
| 5.02
|
dynamic
| |
dynamic/words/8fc3bf4266d3.mp4
|
words
|
['metric']
| 57
| 1
| 398
| 60
| 6.63
|
dynamic
| |
dynamic/words/347bbd0cdc67.mp4
|
words
|
['environment']
| 57
| 1
| 394
| 60
| 6.57
|
dynamic
| |
dynamic/words/83076dfe4c57.mp4
|
words
|
['agent']
| 45
| 1
| 313
| 60
| 5.22
|
dynamic
| |
dynamic/words/932a972e2e21.mp4
|
words
|
['cognition']
| 45
| 1
| 489
| 60
| 8.15
|
dynamic
| |
dynamic/words/b31bde3a0f3c.mp4
|
words
|
['precision']
| 70
| 1
| 535
| 60
| 8.92
|
dynamic
| |
dynamic/words/6c8807b6b5fd.mp4
|
words
|
['classification']
| 70
| 1
| 488
| 60
| 8.13
|
dynamic
| |
dynamic/words/6b62149a8d9e.mp4
|
words
|
['gradient']
| 70
| 1
| 341
| 60
| 5.68
|
dynamic
| |
dynamic/words/e1eed523c81e.mp4
|
words
|
['perception']
| 57
| 1
| 493
| 60
| 8.22
|
dynamic
| |
dynamic/words/01985efcde50.mp4
|
words
|
['neural']
| 45
| 1
| 383
| 60
| 6.38
|
dynamic
| |
dynamic/words/81c888affacf.mp4
|
words
|
['residual']
| 70
| 1
| 544
| 60
| 9.07
|
dynamic
| |
dynamic/words/365dcb8e34ef.mp4
|
words
|
['benchmark']
| 45
| 1
| 510
| 60
| 8.5
|
dynamic
| |
dynamic/words/bfb5afeab037.mp4
|
words
|
['convolution']
| 70
| 1
| 518
| 60
| 8.63
|
dynamic
| |
dynamic/words/bce4acc92482.mp4
|
words
|
['context']
| 70
| 1
| 522
| 60
| 8.7
|
dynamic
| |
dynamic/words/21dc434ddd04.mp4
|
words
|
['backprop']
| 70
| 1
| 599
| 60
| 9.98
|
dynamic
| |
dynamic/words/d564f25f34fc.mp4
|
words
|
['subsymbolic']
| 45
| 1
| 414
| 60
| 6.9
|
dynamic
| |
dynamic/words/b0d21fc21c6d.mp4
|
words
|
['augment']
| 70
| 1
| 306
| 60
| 5.1
|
dynamic
| |
dynamic/words/ded3e280f0ce.mp4
|
words
|
['artificial']
| 45
| 1
| 489
| 60
| 8.15
|
dynamic
| |
dynamic/words/fa2c330eb5d8.mp4
|
words
|
['recall']
| 45
| 1
| 533
| 60
| 8.88
|
dynamic
| |
dynamic/words/41dcfc38b84c.mp4
|
words
|
['pooling']
| 57
| 1
| 318
| 60
| 5.3
|
dynamic
| |
dynamic/words/6f36fa544238.mp4
|
words
|
['abstract']
| 45
| 1
| 484
| 60
| 8.07
|
dynamic
| |
dynamic/words/3a42cd4db535.mp4
|
words
|
['regression']
| 57
| 1
| 469
| 60
| 7.82
|
dynamic
| |
dynamic/words/aaef45cf6b98.mp4
|
words
|
['action']
| 70
| 1
| 528
| 60
| 8.8
|
dynamic
| |
dynamic/words/42bd30117f54.mp4
|
words
|
['artificial']
| 57
| 1
| 412
| 60
| 6.87
|
dynamic
| |
dynamic/words/0a6a8f921178.mp4
|
words
|
['learning']
| 70
| 1
| 516
| 60
| 8.6
|
dynamic
| |
dynamic/words/b773b7228def.mp4
|
words
|
['heuristic']
| 70
| 1
| 318
| 60
| 5.3
|
dynamic
| |
dynamic/words/ab9230b87ffa.mp4
|
words
|
['encoder']
| 45
| 1
| 406
| 60
| 6.77
|
dynamic
| |
dynamic/words/74af39453e2a.mp4
|
words
|
['capacity']
| 70
| 1
| 540
| 60
| 9
|
dynamic
| |
dynamic/words/6fcbb9c52a4c.mp4
|
words
|
['spooky']
| 70
| 1
| 412
| 60
| 6.87
|
dynamic
| |
dynamic/words/19b42530ad70.mp4
|
words
|
['throughput']
| 70
| 1
| 393
| 60
| 6.55
|
dynamic
| |
dynamic/words/97a39fa2114d.mp4
|
words
|
['state']
| 70
| 1
| 458
| 60
| 7.63
|
dynamic
| |
dynamic/words/d56ad9c6254d.mp4
|
words
|
['dataset']
| 45
| 1
| 499
| 60
| 8.32
|
dynamic
| |
dynamic/words/67f2a84d6b61.mp4
|
words
|
['throughput']
| 45
| 1
| 467
| 60
| 7.78
|
dynamic
| |
dynamic/words/9dc1b1b066c0.mp4
|
words
|
['transformer']
| 45
| 1
| 562
| 60
| 9.37
|
dynamic
| |
dynamic/words/0ba27c259af3.mp4
|
words
|
['tracking']
| 70
| 1
| 405
| 60
| 6.75
|
dynamic
| |
dynamic/words/2ae098a5aaca.mp4
|
words
|
['analysis']
| 57
| 1
| 489
| 60
| 8.15
|
dynamic
| |
dynamic/words/c22d7b55aaf6.mp4
|
words
|
['residual']
| 45
| 1
| 327
| 60
| 5.45
|
dynamic
| |
dynamic/words/647431c6cc76.mp4
|
words
|
['tracking']
| 45
| 1
| 399
| 60
| 6.65
|
dynamic
| |
dynamic/words/8b5e954790e1.mp4
|
words
|
['language']
| 70
| 1
| 549
| 60
| 9.15
|
dynamic
| |
dynamic/words/f463132c3113.mp4
|
words
|
['perception']
| 45
| 1
| 357
| 60
| 5.95
|
dynamic
| |
dynamic/words/c65f26ec5a0a.mp4
|
words
|
['logic']
| 45
| 1
| 413
| 60
| 6.88
|
dynamic
|
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