Machine Generated Data
Tags
Amazon
created on 2023-10-06
Cabinet | 100 | |
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Furniture | 100 | |
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Person | 97.5 | |
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Indoors | 83.6 | |
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Interior Design | 68.9 | |
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Sideboard | 67.3 | |
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Bed | 63.9 | |
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Bedroom | 63.9 | |
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Room | 63.9 | |
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Shop | 57.2 | |
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Dresser | 56.7 | |
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Desk | 56.5 | |
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Table | 56.5 | |
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Shelf | 56.4 | |
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Computer Hardware | 56.3 | |
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Electronics | 56.3 | |
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Hardware | 56.3 | |
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Drawer | 55.9 | |
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Architecture | 55.8 | |
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Building | 55.8 | |
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Living Room | 55.8 | |
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Keyboard | 55.7 | |
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Musical Instrument | 55.7 | |
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Piano | 55.7 | |
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Upright Piano | 55.7 | |
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Closet | 55.6 | |
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Cupboard | 55.6 | |
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Fireplace | 55.4 | |
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Screen | 55 | |
|
Clarifai
created on 2018-05-11
monochrome | 99.6 | |
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people | 99.5 | |
| ||
furniture | 98.2 | |
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group | 95.9 | |
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adult | 95.7 | |
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vehicle | 94.2 | |
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transportation system | 93.9 | |
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room | 93.7 | |
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street | 93.1 | |
| ||
one | 92.9 | |
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vintage | 91.1 | |
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two | 90.7 | |
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text | 89.9 | |
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retro | 89.6 | |
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no person | 89.3 | |
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group together | 89.1 | |
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administration | 88.8 | |
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stock | 88.4 | |
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commerce | 86.5 | |
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three | 86.4 | |
|
Imagga
created on 2023-10-06
electronic equipment | 44.6 | |
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equipment | 37.9 | |
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business | 25.5 | |
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cassette player | 21.5 | |
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magnetic tape | 21.4 | |
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cassette tape | 19.7 | |
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folder | 19.5 | |
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device | 18.3 | |
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technology | 17.8 | |
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paper | 17.2 | |
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memory device | 17.1 | |
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finance | 16.9 | |
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office | 16.9 | |
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money | 16.2 | |
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card | 16.2 | |
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memory | 15.8 | |
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old | 15.3 | |
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success | 15.3 | |
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register | 14.8 | |
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bank | 14.3 | |
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word | 14.1 | |
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showing | 14.1 | |
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financial | 13.4 | |
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information | 13.3 | |
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black | 13.2 | |
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radio | 13 | |
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computer | 12.9 | |
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object | 12.5 | |
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sign | 12 | |
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data | 11.9 | |
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file | 11.7 | |
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retro | 11.5 | |
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storage | 11.4 | |
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save | 11.4 | |
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amplifier | 11.3 | |
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cassette deck | 11.2 | |
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tape player | 11.2 | |
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banking | 11 | |
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shop | 10.8 | |
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audio | 10.5 | |
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economy | 10.2 | |
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design | 10.1 | |
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investment | 10.1 | |
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3d | 10.1 | |
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music | 9.9 | |
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videotape | 9.7 | |
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paperwork | 9.7 | |
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digital | 9.7 | |
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button | 9.7 | |
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tobacco shop | 9.7 | |
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industry | 9.4 | |
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cassette | 9.4 | |
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network | 9.3 | |
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close | 9.1 | |
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vintage | 9.1 | |
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tape deck | 9 | |
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metal | 8.8 | |
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invest | 8.7 | |
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pay | 8.6 | |
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sound | 8.4 | |
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modern | 8.4 | |
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case | 8.2 | |
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cash | 8.2 | |
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box | 8.1 | |
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growth | 7.9 | |
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speaker | 7.8 | |
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play | 7.8 | |
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payment | 7.7 | |
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hardware | 7.7 | |
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system | 7.6 | |
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stock | 7.5 | |
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commerce | 7.5 | |
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closeup | 7.4 | |
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connection | 7.3 | |
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market | 7.1 | |
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work | 7.1 | |
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set | 7 | |
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server | 7 | |
|
Google
created on 2018-05-11
black and white | 86.7 | |
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text | 86.5 | |
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furniture | 78 | |
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font | 67.1 | |
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monochrome photography | 62.6 | |
| ||
monochrome | 58.1 | |
| ||
brand | 51.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/43158830/595,279,27,36/full/0/native.jpg)
AWS Rekognition
Age | 51-59 |
Gender | Male, 99.8% |
Calm | 49% |
Confused | 31.6% |
Disgusted | 10.8% |
Surprised | 7% |
Fear | 6.6% |
Sad | 2.9% |
Angry | 2.4% |
Happy | 0.7% |
![](https://ids.lib.harvard.edu/ids/iiif/43158830/597,286,29,29/full/0/native.jpg)
Microsoft Cognitive Services
Age | 48 |
Gender | Male |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43158830/582,273,51,60/full/0/native.jpg)
Person | 97.5% | |
|
Categories
Imagga
text visuals | 74.2% | |
| ||
streetview architecture | 22.2% | |
| ||
paintings art | 2.6% | |
|
Captions
Microsoft
created on 2018-05-11
a stack of flyers on a table | 69.8% | |
| ||
a black sign with white text | 68% | |
| ||
a bench in front of a store | 66.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43158830/250,94,76,31/full/0/native.jpg)
TAKE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/346,95,43,31/full/0/native.jpg)
NO
![](https://ids.lib.harvard.edu/ids/iiif/43158830/249,93,296,38/full/0/native.jpg)
TAKE NO CHANCES
![](https://ids.lib.harvard.edu/ids/iiif/43158830/351,313,28,16/full/0/native.jpg)
NESS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/302,341,61,15/full/0/native.jpg)
CONGRESS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/249,148,245,56/full/0/native.jpg)
ROOSEVELT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/412,132,47,12/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/43158830/407,95,139,36/full/0/native.jpg)
CHANCES
![](https://ids.lib.harvard.edu/ids/iiif/43158830/267,131,27,12/full/0/native.jpg)
GO
![](https://ids.lib.harvard.edu/ids/iiif/43158830/324,313,23,14/full/0/native.jpg)
VAN
![](https://ids.lib.harvard.edu/ids/iiif/43158830/285,313,94,16/full/0/native.jpg)
WADE VAN NESS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/266,127,261,20/full/0/native.jpg)
GO ALL THE WAY WITH
![](https://ids.lib.harvard.edu/ids/iiif/43158830/681,294,202,37/full/0/native.jpg)
RE-ELECT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/308,130,39,13/full/0/native.jpg)
ALL
![](https://ids.lib.harvard.edu/ids/iiif/43158830/285,313,31,16/full/0/native.jpg)
WADE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/358,131,41,13/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/338,361,42,12/full/0/native.jpg)
CANDIDATE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/472,131,55,16/full/0/native.jpg)
WITH
![](https://ids.lib.harvard.edu/ids/iiif/43158830/284,361,96,12/full/0/native.jpg)
A ROOSEVELT CANDIDATE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/497,158,18,9/full/0/native.jpg)
PUT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/284,362,6,10/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/43158830/564,340,82,13/full/0/native.jpg)
SHERIFF
![](https://ids.lib.harvard.edu/ids/iiif/43158830/497,158,41,9/full/0/native.jpg)
PUT THE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/564,333,82,20/full/0/native.jpg)
SHERIFF -
![](https://ids.lib.harvard.edu/ids/iiif/43158830/575,333,27,5/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43158830/568,243,75,24/full/0/native.jpg)
SANDUSK
![](https://ids.lib.harvard.edu/ids/iiif/43158830/517,181,15,7/full/0/native.jpg)
ROOS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/514,169,7,9/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/43158830/492,181,40,8/full/0/native.jpg)
ORDER . ROOS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/512,183,4,4/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/43158830/492,181,18,8/full/0/native.jpg)
ORDER
![](https://ids.lib.harvard.edu/ids/iiif/43158830/223,92,664,324/full/0/native.jpg)
TAKE NO CHANCES
GO ALL THE WAY WITH
ROOSEVELT.
PUT TH
SANDUS
WADE VAN NESS
RE-ELECT
CONGRESS
ROOSEVELT CANDOATE
SHERIF
OOSEVEL
![](https://ids.lib.harvard.edu/ids/iiif/43158830/223,92,106,41/full/0/native.jpg)
TAKE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/342,95,42,40/full/0/native.jpg)
NO
![](https://ids.lib.harvard.edu/ids/iiif/43158830/404,96,140,42/full/0/native.jpg)
CHANCES
![](https://ids.lib.harvard.edu/ids/iiif/43158830/268,131,32,17/full/0/native.jpg)
GO
![](https://ids.lib.harvard.edu/ids/iiif/43158830/308,132,43,18/full/0/native.jpg)
ALL
![](https://ids.lib.harvard.edu/ids/iiif/43158830/359,132,45,17/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/412,133,51,17/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/43158830/473,134,59,17/full/0/native.jpg)
WITH
![](https://ids.lib.harvard.edu/ids/iiif/43158830/251,143,249,70/full/0/native.jpg)
ROOSEVELT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/493,169,22,14/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/43158830/499,159,20,13/full/0/native.jpg)
PUT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/521,159,15,13/full/0/native.jpg)
TH
![](https://ids.lib.harvard.edu/ids/iiif/43158830/564,238,72,42/full/0/native.jpg)
SANDUS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/286,313,35,20/full/0/native.jpg)
WADE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/324,313,28,19/full/0/native.jpg)
VAN
![](https://ids.lib.harvard.edu/ids/iiif/43158830/351,313,33,20/full/0/native.jpg)
NESS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/682,293,205,43/full/0/native.jpg)
RE-ELECT
![](https://ids.lib.harvard.edu/ids/iiif/43158830/302,340,63,25/full/0/native.jpg)
CONGRESS
![](https://ids.lib.harvard.edu/ids/iiif/43158830/341,361,43,19/full/0/native.jpg)
CANDOATE
![](https://ids.lib.harvard.edu/ids/iiif/43158830/566,341,76,16/full/0/native.jpg)
SHERIF
![](https://ids.lib.harvard.edu/ids/iiif/43158830/688,344,177,72/full/0/native.jpg)
OOSEVEL