Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 97.3 | |
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Human | 97.3 | |
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Person | 97.2 | |
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Person | 96.3 | |
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Person | 93.9 | |
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Water | 93.3 | |
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Person | 92.6 | |
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Person | 90.4 | |
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Person | 89.6 | |
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Person | 88.2 | |
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Person | 82.1 | |
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Person | 80.3 | |
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Person | 79.2 | |
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Person | 78.5 | |
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Person | 77.2 | |
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Crowd | 77.1 | |
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Person | 75 | |
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Building | 71.5 | |
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Person | 68.7 | |
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City | 68.4 | |
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Town | 68.4 | |
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Urban | 68.4 | |
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People | 65.2 | |
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Person | 64.6 | |
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Outdoors | 63.5 | |
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Architecture | 62.1 | |
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Person | 58.4 | |
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Downtown | 55.8 | |
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Tree | 55.5 | |
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Plant | 55.5 | |
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Person | 50.9 | |
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Person | 49.6 | |
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Person | 45.7 | |
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Person | 45.2 | |
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Person | 42.6 | |
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Person | 41.5 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
stage | 84 | |
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platform | 67.2 | |
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city | 34.9 | |
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architecture | 30.5 | |
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sky | 26.2 | |
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travel | 24.6 | |
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urban | 22.7 | |
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night | 20.4 | |
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building | 18.1 | |
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cityscape | 18 | |
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sea | 17.4 | |
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water | 17.3 | |
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landscape | 17.1 | |
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tourism | 16.5 | |
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light | 16 | |
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tower | 15.2 | |
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buildings | 15.1 | |
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structure | 14.8 | |
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landmark | 14.4 | |
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history | 14.3 | |
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panorama | 14.3 | |
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town | 13.9 | |
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coast | 13.5 | |
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downtown | 13.5 | |
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ocean | 13.4 | |
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old | 12.5 | |
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river | 12.5 | |
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skyline | 12.3 | |
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construction | 12 | |
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sunset | 10.8 | |
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houses | 10.7 | |
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bridge | 10.4 | |
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scene | 10.4 | |
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cloud | 10.3 | |
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famous | 10.2 | |
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reflection | 10 | |
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vacation | 9.8 | |
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evening | 9.3 | |
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shore | 9.3 | |
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beach | 9.3 | |
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lake | 9.2 | |
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historic | 9.2 | |
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tourist | 9.1 | |
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black | 9 | |
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summer | 9 | |
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center | 9 | |
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wheeled vehicle | 9 | |
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panoramic | 8.6 | |
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wave | 8.6 | |
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dusk | 8.6 | |
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stone | 8.6 | |
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capital | 8.5 | |
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grunge | 8.5 | |
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park | 8.5 | |
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clouds | 8.5 | |
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house | 8.4 | |
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church | 8.3 | |
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street | 8.3 | |
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freight car | 8.2 | |
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religion | 8.1 | |
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scenic | 7.9 | |
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day | 7.8 | |
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ancient | 7.8 | |
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district | 7.8 | |
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spectator | 7.6 | |
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dark | 7.5 | |
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outdoors | 7.5 | |
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waves | 7.4 | |
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industrial | 7.3 | |
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Google
created on 2022-01-15
Black-and-white | 84.2 | |
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Style | 83.8 | |
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Font | 79.2 | |
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Monochrome photography | 73.4 | |
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Monochrome | 73.1 | |
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Event | 72.2 | |
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Pole | 69 | |
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Room | 67.9 | |
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Photo caption | 67.9 | |
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History | 66.9 | |
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Crowd | 65.6 | |
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Team | 64.9 | |
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Paper product | 62.3 | |
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Stock photography | 62.1 | |
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Illustration | 61.2 | |
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Audience | 60.8 | |
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Fun | 60.7 | |
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Art | 59.1 | |
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Photographic paper | 58.6 | |
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Visual arts | 55.9 | |
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Microsoft
created on 2022-01-15
text | 99.7 | |
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black and white | 79.5 | |
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player | 62.9 | |
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people | 55.9 | |
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old | 48.9 | |
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crowd | 32.9 | |
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picture frame | 10 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819041/814,370,11,14/full/0/native.jpg)
AWS Rekognition
Age | 14-22 |
Gender | Male, 95.6% |
Calm | 69.4% |
Sad | 24.8% |
Confused | 2% |
Fear | 1.2% |
Angry | 0.8% |
Disgusted | 0.8% |
Happy | 0.6% |
Surprised | 0.4% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819041/829,353,53,156/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/698,368,58,144/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/339,357,53,159/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/670,371,42,136/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/272,327,47,142/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/580,374,55,142/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/877,346,49,152/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/631,367,42,128/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/373,558,91,81/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/388,419,46,94/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/504,380,35,110/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/218,560,78,78/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/126,321,44,138/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/299,505,88,122/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/778,400,61,90/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/336,182,76,171/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/124,511,73,127/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/517,232,33,70/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/541,372,45,147/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/886,340,40,61/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/185,536,56,99/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/81,501,103,140/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819041/312,342,40,139/full/0/native.jpg)
Person | 97.3% | |
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Categories
Imagga
text visuals | 97.3% | |
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streetview architecture | 2.3% | |
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Captions
Microsoft
created on 2022-01-15
a vintage photo of a large crowd of people | 82.8% | |
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a vintage photo of a crowd | 82.7% | |
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a vintage photo of a group of people standing in front of a crowd | 69.3% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819041/928,284,61,198/full/0/native.jpg)
39568
![](https://ids.lib.harvard.edu/ids/iiif/18819041/537,652,89,13/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18819041/537,650,301,15/full/0/native.jpg)
KODAK kirw
![](https://ids.lib.harvard.edu/ids/iiif/18819041/780,650,58,12/full/0/native.jpg)
kirw
![](https://ids.lib.harvard.edu/ids/iiif/18819041/325,653,58,12/full/0/native.jpg)
١٢
![](https://ids.lib.harvard.edu/ids/iiif/18819041/81,276,908,409/full/0/native.jpg)
LIrW
LIr W
YT3 1 A°2
KODV K
KODVK
2.V LEIA
89568
![](https://ids.lib.harvard.edu/ids/iiif/18819041/782,652,60,15/full/0/native.jpg)
LIrW
![](https://ids.lib.harvard.edu/ids/iiif/18819041/327,653,56,18/full/0/native.jpg)
LIr
![](https://ids.lib.harvard.edu/ids/iiif/18819041/380,653,12,18/full/0/native.jpg)
W
![](https://ids.lib.harvard.edu/ids/iiif/18819041/287,666,64,19/full/0/native.jpg)
YT3
![](https://ids.lib.harvard.edu/ids/iiif/18819041/348,666,5,19/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/18819041/241,666,22,19/full/0/native.jpg)
A°2
![](https://ids.lib.harvard.edu/ids/iiif/18819041/81,656,71,14/full/0/native.jpg)
KODV
![](https://ids.lib.harvard.edu/ids/iiif/18819041/159,656,12,14/full/0/native.jpg)
K
![](https://ids.lib.harvard.edu/ids/iiif/18819041/540,655,90,13/full/0/native.jpg)
KODVK
![](https://ids.lib.harvard.edu/ids/iiif/18819041/654,654,30,14/full/0/native.jpg)
2.V
![](https://ids.lib.harvard.edu/ids/iiif/18819041/689,652,62,17/full/0/native.jpg)
LEIA
![](https://ids.lib.harvard.edu/ids/iiif/18819041/928,276,61,209/full/0/native.jpg)
89568