Datasets:

Arm
/

coco-128-by-sa

text string
2 0.75264844 0.52583333 0.04335937 0.03321596
2 0.83572656 0.53849765 0.03804688 0.02816901
2 0.70087500 0.52145540 0.03643750 0.02023474
2 0.93739844 0.55977700 0.04242187 0.03359155
6 0.45247656 0.57640845 0.75535938 0.28089202
2 0.79498437 0.53877934 0.03681250 0.02615023
2 0.95346875 0.51490610 0.02612500 0.01272300
7 0.53972656 0.46406103 0.03732813 0.02389671
7 0.58517969 0.47139671 0.03798438 0.01659624
2 0.98255469 0.57237089 0.03489062 0.03004695
2 0.76736719 0.53127934 0.03739062 0.02969484
2 0.61796094 0.47637324 0.02501563 0.01007042
2 0.58834375 0.47149061 0.03078125 0.01833333
2 0.56010156 0.47130282 0.03023438 0.01199531
2 0.79604687 0.52179577 0.02996875 0.01457746
2 0.73409375 0.52342723 0.02937500 0.02723005
23 0.65847775 0.59213281 0.67700234 0.77976563
23 0.39158080 0.55630469 0.54686183 0.88739062
3 0.49732743 0.51185156 0.94863717 0.95260937
3 0.24063717 0.21761719 0.47539823 0.42485938
42 0.78279688 0.63887588 0.25731250 0.72224824
55 0.49026562 0.34494145 0.58771875 0.68538642
58 0.38421094 0.17642412 0.10107812 0.14677755
60 0.58357031 0.65294179 0.83114062 0.69411642
41 0.74151563 0.58957380 0.28937500 0.25935551
43 0.55160938 0.76046778 0.16284375 0.33037422
44 0.60800781 0.65995842 0.13267187 0.17114345
55 0.37832031 0.69468815 0.19679688 0.29345114
73 0.50274219 0.49972973 0.20167188 0.19234927
13 0.05027344 0.39487526 0.10054687 0.17037422
13 0.28109375 0.19656965 0.06871875 0.03417879
25 0.54128906 0.10880457 0.16382812 0.21760915
25 0.23081250 0.06456341 0.05112500 0.11586279
26 0.54206250 0.42679834 0.73431250 0.33950104
0 0.71178906 0.05518711 0.03554687 0.07432432
13 0.21646875 0.25730769 0.10156250 0.10280665
13 0.34883594 0.34404366 0.08242188 0.07540541
60 0.58231250 0.22215177 0.33478125 0.04866944
25 0.18530469 0.04939709 0.04451562 0.09259875
27 0.32195313 0.52619403 0.14168750 0.40518657
0 0.68783594 0.60087687 0.59870313 0.79824627
0 0.28606250 0.51572761 0.55331250 0.94156716
76 0.34141406 0.50224813 0.46779688 0.53378731
71 0.50084375 0.60898958 0.99831250 0.76406250
71 0.23792969 0.42758333 0.47585938 0.22866667
79 0.39639062 0.44719792 0.29962500 0.18518750
79 0.21331250 0.34026042 0.24740625 0.17143750
0 0.31490625 0.53138498 0.20893750 0.92826291
0 0.14459375 0.55552817 0.28918750 0.88894366
0 0.19878906 0.34808685 0.25464063 0.62415493
0 0.20067969 0.28793427 0.05392187 0.20610329
0 0.73279688 0.51984742 0.27468750 0.92950704
40 0.58863281 0.59582160 0.03820312 0.14032864
40 0.26745313 0.48287559 0.07759375 0.23312207
40 0.38722656 0.41964789 0.03882813 0.13751174
0 0.09348437 0.77190141 0.18696875 0.43370892
40 0.05282031 0.54941315 0.10554687 0.29854460
0 0.57928906 0.37849765 0.07795312 0.41380282
74 0.69185156 0.57374413 0.02045312 0.03072770
25 0.50007031 0.23572770 0.13689062 0.17502347
77 0.36744167 0.53293333 0.22428333 0.35503333
77 0.55393333 0.47528333 0.19550000 0.23596667
16 0.77760833 0.22212500 0.15471667 0.20608333
77 0.22301667 0.60723333 0.20236667 0.43003333
0 0.59459375 0.51914063 0.81081250 0.96171875
50 0.75255208 0.59222656 0.49489583 0.38117187
27 0.53025781 0.81326042 0.10223438 0.37347917
0 0.11039063 0.76629167 0.22078125 0.46291667
0 0.80655469 0.80436458 0.15267187 0.39127083
0 0.21429687 0.69779167 0.14328125 0.35545833
0 0.94292188 0.69397917 0.11415625 0.26016667
0 0.07558594 0.40597917 0.02198438 0.09233333
0 0.30442969 0.64357292 0.07498438 0.09864583
0 0.70525781 0.58600000 0.06770313 0.10037500
0 0.64178125 0.53266667 0.05087500 0.05558333
0 0.93925000 0.88713542 0.12068750 0.22506250
24 0.66322656 0.77755208 0.12051562 0.44489583
0 0.50785156 0.58093750 0.57510938 0.81166667
0 0.81510156 0.57240625 0.01314062 0.02006250
0 0.86532812 0.71450000 0.11531250 0.30412500
0 0.50844262 0.49324219 0.98311475 0.97748438
54 0.63567916 0.42747656 0.24222482 0.11332813
40 0.79792187 0.07959375 0.15303125 0.14572917
41 0.93907812 0.20101042 0.12184375 0.40202083
53 0.44250781 0.50581250 0.88501562 0.95437500
60 0.50000000 0.50112500 1.00000000 0.99775000
27 0.37477713 0.62327344 0.11943798 0.37470313
0 0.49891473 0.56067188 0.99782946 0.85618750
77 0.53007000 0.51140575 0.52238000 0.95079872
77 0.77515000 0.25078275 0.39914000 0.49664537
77 0.09187000 0.30519169 0.18374000 0.57920128
77 0.37220000 0.19461661 0.42652000 0.38341853
14 0.49382031 0.31429167 0.05001562 0.04220833
14 0.38611719 0.28785417 0.05339063 0.02908333
0 0.39003906 0.67703125 0.02376563 0.07139583
14 0.71646875 0.47186458 0.02900000 0.03706250
14 0.01831250 0.40687500 0.03628125 0.03225000
14 0.71150781 0.37938542 0.03432813 0.03352083
14 0.95174219 0.38337500 0.03070312 0.02170833
14 0.18006250 0.42902083 0.05596875 0.04758333

End of preview. Expand in Data Studio

COCO 128 BY/SA

This is a 128-image object-detection subset of COCO train2017. It contains 89 images offered under CC BY 2.0 and 39 images offered under CC BY-SA 2.0. The image licenses are grants from the individual image creators, not from the COCO Consortium.

License and attribution

Images are individually licensed under CC BY or CC BY-SA. See LICENSE_MANIFEST.csv for per-image attribution, source, and license details. COCO-derived annotations are licensed under CC BY 4.0; see LICENSES/COCO-ANNOTATIONS-CC-BY-4.0-NOTICE.md. There is no single license covering every file in this repository.

Composition

Property	Count
COCO `train2017` images used by both `train` and `val`	128
Object instances	1,025
CC BY 2.0 images	89
CC BY-SA 2.0 images	39

Layout

images/train2017/                 # 128 JPEG images
labels/train2017/                 # 128 YOLO label files
annotations/instances_train2017.json
data.yaml
selection.json                    # Deterministic selection and replacement record
LICENSE_MANIFEST.csv              # Per-image source, license, and attribution
LICENSES/                         # Image and annotation notices
verify_attribution.py             # Local consistency and checksum audit

Downloads last month: 57