Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 99.5 | |
| ||
Human | 99.5 | |
| ||
Person | 97 | |
| ||
Person | 96.9 | |
| ||
Person | 96.3 | |
| ||
Person | 93.8 | |
| ||
Text | 83.9 | |
| ||
Clothing | 81 | |
| ||
Apparel | 81 | |
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Person | 78.2 | |
| ||
Person | 77.3 | |
| ||
Outdoors | 74.4 | |
| ||
People | 74.3 | |
| ||
Face | 73.7 | |
| ||
Person | 73.1 | |
| ||
Nature | 72.3 | |
| ||
Crowd | 69 | |
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Drawing | 68.8 | |
| ||
Art | 68.8 | |
| ||
Urban | 66.9 | |
| ||
Photography | 65.1 | |
| ||
Photo | 65.1 | |
| ||
Advertisement | 60.2 | |
| ||
Parade | 58 | |
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Poster | 57 | |
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Female | 56.7 | |
| ||
Pedestrian | 55.2 | |
|
Clarifai
created on 2023-10-25
monochrome | 99.9 | |
| ||
people | 99.8 | |
| ||
adult | 98.2 | |
| ||
man | 97.1 | |
| ||
street | 96.3 | |
| ||
winter | 94.3 | |
| ||
snow | 94.2 | |
| ||
child | 93.8 | |
| ||
crowd | 93.6 | |
| ||
illustration | 90.6 | |
| ||
group | 90.3 | |
| ||
woman | 89.2 | |
| ||
group together | 89.1 | |
| ||
nostalgia | 87.6 | |
| ||
many | 86.2 | |
| ||
transportation system | 85.1 | |
| ||
motion | 82.5 | |
| ||
vertical | 82 | |
| ||
wear | 82 | |
| ||
sledge | 79.8 | |
|
Imagga
created on 2022-01-08
negative | 45.6 | |
| ||
film | 38.2 | |
| ||
newspaper | 27.3 | |
| ||
photographic paper | 27.3 | |
| ||
sky | 25.5 | |
| ||
product | 21.6 | |
| ||
city | 20.8 | |
| ||
daily | 20 | |
| ||
architecture | 18.7 | |
| ||
photographic equipment | 18.2 | |
| ||
building | 17.5 | |
| ||
creation | 17 | |
| ||
construction | 16.2 | |
| ||
cloud | 15.5 | |
| ||
business | 14 | |
| ||
space shuttle | 13.9 | |
| ||
travel | 13.4 | |
| ||
water | 12.7 | |
| ||
structure | 12.5 | |
| ||
cityscape | 12.3 | |
| ||
scene | 12.1 | |
| ||
light | 12 | |
| ||
grunge | 11.9 | |
| ||
landscape | 11.9 | |
| ||
urban | 11.4 | |
| ||
spacecraft | 11.1 | |
| ||
silhouette | 10.8 | |
| ||
skyline | 10.4 | |
| ||
office | 10.4 | |
| ||
work | 10.2 | |
| ||
tourism | 9.9 | |
| ||
history | 9.8 | |
| ||
craft | 9.7 | |
| ||
vehicle | 9.7 | |
| ||
technology | 9.6 | |
| ||
design | 9.6 | |
| ||
power | 9.2 | |
| ||
house | 9.2 | |
| ||
stone | 9.2 | |
| ||
modern | 9.1 | |
| ||
vintage | 9.1 | |
| ||
old | 9.1 | |
| ||
tower | 8.9 | |
| ||
fog | 8.7 | |
| ||
downtown | 8.6 | |
| ||
space | 8.5 | |
| ||
male | 8.5 | |
| ||
satellite | 8.3 | |
| ||
pattern | 8.2 | |
| ||
retro | 8.2 | |
| ||
dirty | 8.1 | |
| ||
transportation | 8.1 | |
| ||
river | 8 | |
| ||
gravestone | 8 | |
| ||
night | 8 | |
| ||
cool | 8 | |
| ||
black | 7.8 | |
| ||
industry | 7.7 | |
| ||
drawing | 7.6 | |
| ||
buildings | 7.6 | |
| ||
outdoors | 7.5 | |
| ||
town | 7.4 | |
| ||
man | 7.4 | |
| ||
transport | 7.3 | |
| ||
landmark | 7.2 | |
| ||
trees | 7.1 | |
| ||
businessman | 7.1 | |
| ||
paper | 7.1 | |
|
Google
created on 2022-01-08
Motor vehicle | 90.8 | |
| ||
Black | 89.6 | |
| ||
Font | 81.4 | |
| ||
Vehicle | 81.3 | |
| ||
Art | 79.8 | |
| ||
Adaptation | 79.4 | |
| ||
Monochrome | 71.5 | |
| ||
Illustration | 69.6 | |
| ||
Monochrome photography | 66 | |
| ||
Stock photography | 64.3 | |
| ||
Photo caption | 64 | |
| ||
Winter | 62.2 | |
| ||
Snow | 61.8 | |
| ||
Advertising | 61.7 | |
| ||
Room | 61.2 | |
| ||
Tree | 60.8 | |
| ||
Aircraft | 58.6 | |
| ||
History | 58.4 | |
| ||
Visual arts | 56.9 | |
| ||
Vintage clothing | 54.1 | |
|
Microsoft
created on 2022-01-08
text | 99.2 | |
| ||
wedding dress | 90.6 | |
| ||
bride | 78.5 | |
| ||
black and white | 68.7 | |
| ||
old | 54.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785915/493,193,14,18/full/0/native.jpg)
AWS Rekognition
Age | 21-29 |
Gender | Male, 90.2% |
Calm | 90% |
Sad | 8.3% |
Happy | 0.5% |
Surprised | 0.4% |
Confused | 0.3% |
Angry | 0.2% |
Disgusted | 0.2% |
Fear | 0.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785915/28,308,185,424/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/496,404,186,376/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/713,632,194,164/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/465,193,63,147/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/145,276,67,79/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/523,190,31,111/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/384,213,50,80/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18785915/587,177,73,165/full/0/native.jpg)
Person | 99.5% | |
|
Categories
Imagga
paintings art | 99% | |
| ||
text visuals | 1% | |
|
Captions
Microsoft
created on 2022-01-08
a vintage photo of a person | 84% | |
| ||
a vintage photo of some people | 77.5% | |
| ||
a vintage photo of a person | 77.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785915/618,414,73,42/full/0/native.jpg)
PIE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/422,366,157,62/full/0/native.jpg)
English
![](https://ids.lib.harvard.edu/ids/iiif/18785915/551,347,74,22/full/0/native.jpg)
PRODUCT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/480,348,66,24/full/0/native.jpg)
KRAFT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/628,366,106,39/full/0/native.jpg)
Cheese
![](https://ids.lib.harvard.edu/ids/iiif/18785915/458,346,167,26/full/0/native.jpg)
A KRAFT PRODUCT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/362,490,59,21/full/0/native.jpg)
Distributor
![](https://ids.lib.harvard.edu/ids/iiif/18785915/65,251,49,15/full/0/native.jpg)
APPLE PIE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/316,426,66,50/full/0/native.jpg)
Really
![](https://ids.lib.harvard.edu/ids/iiif/18785915/459,352,13,20/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18785915/65,254,27,12/full/0/native.jpg)
APPLE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/56,233,19,10/full/0/native.jpg)
OLD
![](https://ids.lib.harvard.edu/ids/iiif/18785915/354,438,57,43/full/0/native.jpg)
Sharp
![](https://ids.lib.harvard.edu/ids/iiif/18785915/400,424,134,54/full/0/native.jpg)
APP
![](https://ids.lib.harvard.edu/ids/iiif/18785915/588,410,20,12/full/0/native.jpg)
TH
![](https://ids.lib.harvard.edu/ids/iiif/18785915/228,385,50,22/full/0/native.jpg)
KRAFT PRODUCT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/202,390,86,46/full/0/native.jpg)
Old English
![](https://ids.lib.harvard.edu/ids/iiif/18785915/623,459,63,25/full/0/native.jpg)
CHEESE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/769,385,18,17/full/0/native.jpg)
PIO
![](https://ids.lib.harvard.edu/ids/iiif/18785915/77,231,39,12/full/0/native.jpg)
ENGLISH
![](https://ids.lib.harvard.edu/ids/iiif/18785915/206,390,27,26/full/0/native.jpg)
Old
![](https://ids.lib.harvard.edu/ids/iiif/18785915/231,427,16,10/full/0/native.jpg)
i
![](https://ids.lib.harvard.edu/ids/iiif/18785915/622,457,87,27/full/0/native.jpg)
CHEESE to
![](https://ids.lib.harvard.edu/ids/iiif/18785915/550,770,153,31/full/0/native.jpg)
15991.
![](https://ids.lib.harvard.edu/ids/iiif/18785915/783,366,18,12/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18785915/685,458,22,17/full/0/native.jpg)
to
![](https://ids.lib.harvard.edu/ids/iiif/18785915/56,230,85,21/full/0/native.jpg)
OLD ENGLISH CHEE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/765,371,49,35/full/0/native.jpg)
do English PIO -
![](https://ids.lib.harvard.edu/ids/iiif/18785915/214,431,24,13/full/0/native.jpg)
CORPORATION
![](https://ids.lib.harvard.edu/ids/iiif/18785915/319,366,260,78/full/0/native.jpg)
Its old English
![](https://ids.lib.harvard.edu/ids/iiif/18785915/115,234,25,17/full/0/native.jpg)
CHEE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/807,145,34,13/full/0/native.jpg)
APPLE PER
![](https://ids.lib.harvard.edu/ids/iiif/18785915/208,422,53,19/full/0/native.jpg)
/ i / I
![](https://ids.lib.harvard.edu/ids/iiif/18785915/777,398,9,6/full/0/native.jpg)
do
![](https://ids.lib.harvard.edu/ids/iiif/18785915/568,156,45,12/full/0/native.jpg)
GIDENGLISH
![](https://ids.lib.harvard.edu/ids/iiif/18785915/339,374,72,49/full/0/native.jpg)
old
![](https://ids.lib.harvard.edu/ids/iiif/18785915/247,434,6,3/full/0/native.jpg)
/
![](https://ids.lib.harvard.edu/ids/iiif/18785915/690,407,15,18/full/0/native.jpg)
gu
![](https://ids.lib.harvard.edu/ids/iiif/18785915/165,221,14,13/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/18785915/323,425,18,18/full/0/native.jpg)
Its
![](https://ids.lib.harvard.edu/ids/iiif/18785915/212,431,83,30/full/0/native.jpg)
CORPORATION oct sences CHOCO KYN
![](https://ids.lib.harvard.edu/ids/iiif/18785915/263,447,17,10/full/0/native.jpg)
CHOCO
![](https://ids.lib.harvard.edu/ids/iiif/18785915/141,221,42,28/full/0/native.jpg)
Less R
![](https://ids.lib.harvard.edu/ids/iiif/18785915/211,412,21,14/full/0/native.jpg)
Presse
![](https://ids.lib.harvard.edu/ids/iiif/18785915/255,437,5,3/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18785915/830,146,10,7/full/0/native.jpg)
PER
![](https://ids.lib.harvard.edu/ids/iiif/18785915/701,301,15,5/full/0/native.jpg)
PROTECT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/239,440,8,7/full/0/native.jpg)
oct
![](https://ids.lib.harvard.edu/ids/iiif/18785915/247,442,16,9/full/0/native.jpg)
sences
![](https://ids.lib.harvard.edu/ids/iiif/18785915/208,412,64,27/full/0/native.jpg)
Presse Christian Ohne
![](https://ids.lib.harvard.edu/ids/iiif/18785915/230,418,23,15/full/0/native.jpg)
Christian
![](https://ids.lib.harvard.edu/ids/iiif/18785915/280,453,13,9/full/0/native.jpg)
KYN
![](https://ids.lib.harvard.edu/ids/iiif/18785915/788,392,10,7/full/0/native.jpg)
202
![](https://ids.lib.harvard.edu/ids/iiif/18785915/145,229,23,19/full/0/native.jpg)
Less
![](https://ids.lib.harvard.edu/ids/iiif/18785915/251,425,20,14/full/0/native.jpg)
Ohne
![](https://ids.lib.harvard.edu/ids/iiif/18785915/60,8,680,509/full/0/native.jpg)
15991.
OLD ENGLISH
APPLE PIE
A KRAFT PRODUCT
010 English
A ERAFT PRODUCT
Ola Englisb Cheese
APP
"TH
PIE
Sharp
Distributer
ACHEES O
Really
Really
![](https://ids.lib.harvard.edu/ids/iiif/18785915/469,8,153,32/full/0/native.jpg)
15991.
![](https://ids.lib.harvard.edu/ids/iiif/18785915/60,233,22,16/full/0/native.jpg)
OLD
![](https://ids.lib.harvard.edu/ids/iiif/18785915/79,230,43,18/full/0/native.jpg)
ENGLISH
![](https://ids.lib.harvard.edu/ids/iiif/18785915/67,255,30,17/full/0/native.jpg)
APPLE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/101,251,18,14/full/0/native.jpg)
PIE
![](https://ids.lib.harvard.edu/ids/iiif/18785915/468,351,20,27/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18785915/482,350,68,26/full/0/native.jpg)
KRAFT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/554,346,76,30/full/0/native.jpg)
PRODUCT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/197,386,46,44/full/0/native.jpg)
010
![](https://ids.lib.harvard.edu/ids/iiif/18785915/230,399,57,47/full/0/native.jpg)
English
![](https://ids.lib.harvard.edu/ids/iiif/18785915/235,387,20,14/full/0/native.jpg)
ERAFT
![](https://ids.lib.harvard.edu/ids/iiif/18785915/349,375,88,61/full/0/native.jpg)
Ola
![](https://ids.lib.harvard.edu/ids/iiif/18785915/433,366,152,65/full/0/native.jpg)
Englisb
![](https://ids.lib.harvard.edu/ids/iiif/18785915/623,358,117,63/full/0/native.jpg)
Cheese
![](https://ids.lib.harvard.edu/ids/iiif/18785915/336,422,204,72/full/0/native.jpg)
APP
![](https://ids.lib.harvard.edu/ids/iiif/18785915/590,412,23,14/full/0/native.jpg)
"TH
![](https://ids.lib.harvard.edu/ids/iiif/18785915/357,439,53,51/full/0/native.jpg)
Sharp
![](https://ids.lib.harvard.edu/ids/iiif/18785915/359,490,65,27/full/0/native.jpg)
Distributer
![](https://ids.lib.harvard.edu/ids/iiif/18785915/612,462,68,32/full/0/native.jpg)
ACHEES
![](https://ids.lib.harvard.edu/ids/iiif/18785915/688,458,24,25/full/0/native.jpg)
O
![](https://ids.lib.harvard.edu/ids/iiif/18785915/327,422,59,59/full/0/native.jpg)
Really