Machine Generated Data
Tags
Amazon
created on 2022-01-15
Classroom | 99.2 | |
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Room | 99.2 | |
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Indoors | 99.2 | |
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School | 99.2 | |
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Person | 98.9 | |
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Human | 98.9 | |
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Person | 98.8 | |
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Person | 96.4 | |
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Chair | 94.8 | |
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Furniture | 94.8 | |
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Person | 94.3 | |
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Person | 92.6 | |
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Person | 91.5 | |
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Person | 90.1 | |
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Sunglasses | 89 | |
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Accessories | 89 | |
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Accessory | 89 | |
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Person | 87.1 | |
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Person | 85.8 | |
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Person | 85.2 | |
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Kindergarten | 84.8 | |
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Interior Design | 82.8 | |
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Person | 75.9 | |
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Chair | 53.2 | |
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Person | 45.8 | |
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Person | 42.8 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
Google
created on 2022-01-15
Photograph | 94.2 | |
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Chair | 87.9 | |
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Black-and-white | 83.7 | |
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Font | 76.8 | |
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Snapshot | 74.3 | |
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Room | 73.4 | |
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Monochrome photography | 73.2 | |
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Monochrome | 72.8 | |
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Event | 72.7 | |
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Suit | 67.9 | |
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Table | 67.2 | |
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Class | 65.5 | |
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Hat | 64.9 | |
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Stock photography | 63.9 | |
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Team | 60.8 | |
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Art | 59.7 | |
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Photo caption | 59.6 | |
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Academic institution | 59.5 | |
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History | 58.6 | |
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Education | 57.8 | |
|
Color Analysis
Feature analysis
Amazon
Categories
Imagga
streetview architecture | 31% | |
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interior objects | 16.4% | |
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people portraits | 15.2% | |
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text visuals | 12.6% | |
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events parties | 11.3% | |
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food drinks | 6.3% | |
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paintings art | 5.7% | |
|
Captions
Microsoft
created on 2022-01-15
graphical user interface | 54.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18820553/631,72,49,34/full/0/native.jpg)
60
![](https://ids.lib.harvard.edu/ids/iiif/18820553/819,27,108,67/full/0/native.jpg)
STOP
![](https://ids.lib.harvard.edu/ids/iiif/18820553/477,222,141,72/full/0/native.jpg)
Attitude
![](https://ids.lib.harvard.edu/ids/iiif/18820553/522,61,72,23/full/0/native.jpg)
SCHOOL
![](https://ids.lib.harvard.edu/ids/iiif/18820553/626,25,62,21/full/0/native.jpg)
SPEED
![](https://ids.lib.harvard.edu/ids/iiif/18820553/631,47,52,21/full/0/native.jpg)
LIMIT
![](https://ids.lib.harvard.edu/ids/iiif/18820553/426,63,18,23/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/18820553/273,33,23,18/full/0/native.jpg)
ONE
![](https://ids.lib.harvard.edu/ids/iiif/18820553/272,33,47,22/full/0/native.jpg)
ONE WAY
![](https://ids.lib.harvard.edu/ids/iiif/18820553/295,38,22,17/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/18820553/737,201,50,16/full/0/native.jpg)
lattery
![](https://ids.lib.harvard.edu/ids/iiif/18820553/616,226,51,21/full/0/native.jpg)
foreight
![](https://ids.lib.harvard.edu/ids/iiif/18820553/712,297,77,19/full/0/native.jpg)
instructions
![](https://ids.lib.harvard.edu/ids/iiif/18820553/305,203,143,94/full/0/native.jpg)
COURTESY
![](https://ids.lib.harvard.edu/ids/iiif/18820553/720,213,76,31/full/0/native.jpg)
information
![](https://ids.lib.harvard.edu/ids/iiif/18820553/618,199,55,14/full/0/native.jpg)
radiator
![](https://ids.lib.harvard.edu/ids/iiif/18820553/730,235,34,14/full/0/native.jpg)
lane
![](https://ids.lib.harvard.edu/ids/iiif/18820553/718,262,65,29/full/0/native.jpg)
ignition
![](https://ids.lib.harvard.edu/ids/iiif/18820553/12,159,15,70/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18820553/614,251,40,21/full/0/native.jpg)
square
![](https://ids.lib.harvard.edu/ids/iiif/18820553/729,252,39,10/full/0/native.jpg)
curve
![](https://ids.lib.harvard.edu/ids/iiif/18820553/614,243,56,30/full/0/native.jpg)
square respon
![](https://ids.lib.harvard.edu/ids/iiif/18820553/693,213,103,31/full/0/native.jpg)
tip information
![](https://ids.lib.harvard.edu/ids/iiif/18820553/633,245,36,15/full/0/native.jpg)
respon
![](https://ids.lib.harvard.edu/ids/iiif/18820553/11,159,16,183/full/0/native.jpg)
YT37A42 I KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18820553/712,282,64,22/full/0/native.jpg)
manfold
![](https://ids.lib.harvard.edu/ids/iiif/18820553/617,213,58,15/full/0/native.jpg)
sportema
![](https://ids.lib.harvard.edu/ids/iiif/18820553/693,215,19,15/full/0/native.jpg)
tip
![](https://ids.lib.harvard.edu/ids/iiif/18820553/16,224,5,29/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18820553/11,256,15,86/full/0/native.jpg)
YT37A42
![](https://ids.lib.harvard.edu/ids/iiif/18820553/615,265,48,18/full/0/native.jpg)
ctanguear
![](https://ids.lib.harvard.edu/ids/iiif/18820553/270,27,664,293/full/0/native.jpg)
A
SPEED
LIMIT
STOP
ONE WAY
R SCHOOL
60
nadiater
Aporte
Latter
GURTEST Attitude
Cuwe
indeuctione
![](https://ids.lib.harvard.edu/ids/iiif/18820553/612,256,18,14/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18820553/629,27,64,24/full/0/native.jpg)
SPEED
![](https://ids.lib.harvard.edu/ids/iiif/18820553/634,51,53,22/full/0/native.jpg)
LIMIT
![](https://ids.lib.harvard.edu/ids/iiif/18820553/826,28,108,77/full/0/native.jpg)
STOP
![](https://ids.lib.harvard.edu/ids/iiif/18820553/270,35,30,22/full/0/native.jpg)
ONE
![](https://ids.lib.harvard.edu/ids/iiif/18820553/300,38,22,20/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/18820553/476,63,22,28/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/18820553/520,64,78,25/full/0/native.jpg)
SCHOOL
![](https://ids.lib.harvard.edu/ids/iiif/18820553/634,74,52,38/full/0/native.jpg)
60
![](https://ids.lib.harvard.edu/ids/iiif/18820553/622,202,56,15/full/0/native.jpg)
nadiater
![](https://ids.lib.harvard.edu/ids/iiif/18820553/616,215,50,15/full/0/native.jpg)
Aporte
![](https://ids.lib.harvard.edu/ids/iiif/18820553/738,201,43,21/full/0/native.jpg)
Latter
![](https://ids.lib.harvard.edu/ids/iiif/18820553/273,210,177,86/full/0/native.jpg)
GURTEST
![](https://ids.lib.harvard.edu/ids/iiif/18820553/447,216,175,86/full/0/native.jpg)
Attitude
![](https://ids.lib.harvard.edu/ids/iiif/18820553/731,253,43,15/full/0/native.jpg)
Cuwe
![](https://ids.lib.harvard.edu/ids/iiif/18820553/716,297,76,23/full/0/native.jpg)
indeuctione