Machine Generated Data
Tags
Amazon
created on 2023-10-05
Water | 99.8 | |
| ||
Architecture | 96.3 | |
| ||
Building | 96.3 | |
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Life Buoy | 66.7 | |
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Outdoors | 57.9 | |
| ||
Shelter | 57.9 | |
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Clothing | 55.7 | |
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Lifejacket | 55.7 | |
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Vest | 55.7 | |
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Home Decor | 55.5 | |
|
Clarifai
created on 2018-05-10
no person | 98.3 | |
| ||
monochrome | 96.6 | |
| ||
retro | 93.5 | |
| ||
wood | 92.4 | |
| ||
indoors | 91.3 | |
| ||
business | 90.7 | |
| ||
family | 89.5 | |
| ||
furniture | 86.5 | |
| ||
architecture | 84.8 | |
| ||
desktop | 83.7 | |
| ||
illustration | 82.6 | |
| ||
room | 82 | |
| ||
steel | 81.8 | |
| ||
house | 81.7 | |
| ||
vintage | 81.2 | |
| ||
design | 81.1 | |
| ||
monochromatic | 81.1 | |
| ||
vertical | 80.1 | |
| ||
door | 79.9 | |
| ||
old | 79.3 | |
|
Imagga
created on 2023-10-05
scale | 41.8 | |
| ||
measuring instrument | 37.6 | |
| ||
building | 32.4 | |
| ||
architecture | 28.9 | |
| ||
device | 28.1 | |
| ||
wall | 26.5 | |
| ||
instrument | 26.3 | |
| ||
alarm | 26.3 | |
| ||
burglar alarm | 23.9 | |
| ||
window | 22.5 | |
| ||
old | 22.3 | |
| ||
room | 21.3 | |
| ||
toilet | 19.9 | |
| ||
washer | 19.1 | |
| ||
house | 17.6 | |
| ||
door | 17.1 | |
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city | 15.8 | |
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white goods | 15.3 | |
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air conditioner | 13.3 | |
| ||
town | 13 | |
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facade | 12.8 | |
| ||
sign | 12.8 | |
| ||
travel | 12.7 | |
| ||
glass | 12.5 | |
| ||
exterior | 12 | |
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home appliance | 11.9 | |
| ||
business | 11.5 | |
| ||
clock | 11.1 | |
| ||
structure | 11 | |
| ||
vintage | 10.8 | |
| ||
cooling system | 10.7 | |
| ||
construction | 10.3 | |
| ||
finance | 10.1 | |
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tower | 9.9 | |
| ||
shop | 9.8 | |
| ||
urban | 9.6 | |
| ||
windows | 9.6 | |
| ||
home | 9.6 | |
| ||
ancient | 9.5 | |
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barbershop | 9.5 | |
| ||
brick | 9.4 | |
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fire alarm | 9.4 | |
| ||
money | 9.4 | |
| ||
stone | 9.3 | |
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church | 9.3 | |
| ||
bank | 9.1 | |
| ||
tourism | 9.1 | |
| ||
detail | 8.9 | |
| ||
entrance | 8.7 | |
| ||
sky | 8.3 | |
| ||
retro | 8.2 | |
| ||
mechanism | 8.1 | |
| ||
metal | 8.1 | |
| ||
history | 8 | |
| ||
appliance | 7.9 | |
| ||
culture | 7.7 | |
| ||
roof | 7.6 | |
| ||
frame | 7.5 | |
| ||
traditional | 7.5 | |
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outdoors | 7.5 | |
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historic | 7.3 | |
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religion | 7.2 | |
|
Google
created on 2018-05-10
black and white | 90.3 | |
| ||
product | 68.6 | |
| ||
monochrome photography | 65.8 | |
| ||
product design | 64.8 | |
| ||
monochrome | 63.7 | |
| ||
window | 57.1 | |
| ||
font | 55.7 | |
|
Microsoft
created on 2018-05-10
white | 69.6 | |
| ||
black | 66.9 | |
| ||
outdoor object | 34.3 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43162322/18,10,991,740/full/0/native.jpg)
Building | 96.3% | |
|
Categories
Imagga
streetview architecture | 73.6% | |
| ||
interior objects | 15.9% | |
| ||
text visuals | 7.2% | |
| ||
food drinks | 2% | |
|
Captions
Microsoft
created on 2018-05-10
a black sign with white text | 83% | |
| ||
a black sign with white letters | 81.1% | |
| ||
a black sign with white text on a building | 81% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43162322/414,453,116,32/full/0/native.jpg)
MOTORS
![](https://ids.lib.harvard.edu/ids/iiif/43162322/328,453,201,32/full/0/native.jpg)
STOP MOTORS
![](https://ids.lib.harvard.edu/ids/iiif/43162322/328,454,72,31/full/0/native.jpg)
STOP
![](https://ids.lib.harvard.edu/ids/iiif/43162322/322,558,41,16/full/0/native.jpg)
$500
![](https://ids.lib.harvard.edu/ids/iiif/43162322/449,557,53,14/full/0/native.jpg)
ORDER
![](https://ids.lib.harvard.edu/ids/iiif/43162322/416,557,22,16/full/0/native.jpg)
BY
![](https://ids.lib.harvard.edu/ids/iiif/43162322/390,495,51,21/full/0/native.jpg)
BOAT
![](https://ids.lib.harvard.edu/ids/iiif/43162322/322,554,213,21/full/0/native.jpg)
$500 FINE BY ORDER OF
![](https://ids.lib.harvard.edu/ids/iiif/43162322/478,494,51,21/full/0/native.jpg)
FAST
![](https://ids.lib.harvard.edu/ids/iiif/43162322/449,495,18,19/full/0/native.jpg)
IS
![](https://ids.lib.harvard.edu/ids/iiif/43162322/321,494,209,23/full/0/native.jpg)
UNTIL BOAT IS FAST
![](https://ids.lib.harvard.edu/ids/iiif/43162322/321,496,57,20/full/0/native.jpg)
UNTIL
![](https://ids.lib.harvard.edu/ids/iiif/43162322/413,523,96,24/full/0/native.jpg)
DOCK
![](https://ids.lib.harvard.edu/ids/iiif/43162322/512,554,22,17/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/43162322/369,558,39,16/full/0/native.jpg)
FINE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/318,583,81,19/full/0/native.jpg)
FEDERAL
![](https://ids.lib.harvard.edu/ids/iiif/43162322/337,424,182,23/full/0/native.jpg)
AUTOMOBILES
![](https://ids.lib.harvard.edu/ids/iiif/43162322/318,580,216,21/full/0/native.jpg)
FEDERAL GOVERNMENT
![](https://ids.lib.harvard.edu/ids/iiif/43162322/351,523,158,25/full/0/native.jpg)
TO DOCK
![](https://ids.lib.harvard.edu/ids/iiif/43162322/416,581,118,18/full/0/native.jpg)
GOVERNMENT
![](https://ids.lib.harvard.edu/ids/iiif/43162322/351,526,44,22/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43162322/739,84,138,70/full/0/native.jpg)
COXSACKIE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/114,598,40,21/full/0/native.jpg)
ACK
![](https://ids.lib.harvard.edu/ids/iiif/43162322/53,597,26,14/full/0/native.jpg)
SAC
![](https://ids.lib.harvard.edu/ids/iiif/43162322/109,420,62,26/full/0/native.jpg)
CKIE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/712,0,236,89/full/0/native.jpg)
SACKIE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/319,0,621,606/full/0/native.jpg)
ACKIE
SACK
AUTOMOBILES
TOP MOTORS
UNTIL BOAT IS FAST
TO DOCK
$500 FINE BY ORDER OF
FEDERAL GOVERNMENT
![](https://ids.lib.harvard.edu/ids/iiif/43162322/737,0,203,91/full/0/native.jpg)
ACKIE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/780,86,86,54/full/0/native.jpg)
SACK
![](https://ids.lib.harvard.edu/ids/iiif/43162322/339,426,185,24/full/0/native.jpg)
AUTOMOBILES
![](https://ids.lib.harvard.edu/ids/iiif/43162322/349,456,57,35/full/0/native.jpg)
TOP
![](https://ids.lib.harvard.edu/ids/iiif/43162322/415,455,120,36/full/0/native.jpg)
MOTORS
![](https://ids.lib.harvard.edu/ids/iiif/43162322/322,497,60,24/full/0/native.jpg)
UNTIL
![](https://ids.lib.harvard.edu/ids/iiif/43162322/391,496,54,24/full/0/native.jpg)
BOAT
![](https://ids.lib.harvard.edu/ids/iiif/43162322/449,497,22,22/full/0/native.jpg)
IS
![](https://ids.lib.harvard.edu/ids/iiif/43162322/479,495,55,24/full/0/native.jpg)
FAST
![](https://ids.lib.harvard.edu/ids/iiif/43162322/352,527,48,25/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43162322/414,525,99,27/full/0/native.jpg)
DOCK
![](https://ids.lib.harvard.edu/ids/iiif/43162322/323,558,45,21/full/0/native.jpg)
$500
![](https://ids.lib.harvard.edu/ids/iiif/43162322/370,558,43,20/full/0/native.jpg)
FINE
![](https://ids.lib.harvard.edu/ids/iiif/43162322/417,558,25,20/full/0/native.jpg)
BY
![](https://ids.lib.harvard.edu/ids/iiif/43162322/449,556,59,21/full/0/native.jpg)
ORDER
![](https://ids.lib.harvard.edu/ids/iiif/43162322/513,556,25,20/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/43162322/319,585,84,21/full/0/native.jpg)
FEDERAL
![](https://ids.lib.harvard.edu/ids/iiif/43162322/417,583,122,22/full/0/native.jpg)
GOVERNMENT