Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
| ||
Coat | 100 | |
| ||
People | 99.5 | |
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Person | 99 | |
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Adult | 99 | |
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Male | 99 | |
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Man | 99 | |
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Person | 98.8 | |
| ||
Adult | 98.8 | |
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Male | 98.8 | |
| ||
Man | 98.8 | |
| ||
Person | 98.3 | |
| ||
Person | 98.2 | |
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Adult | 98.2 | |
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Male | 98.2 | |
| ||
Man | 98.2 | |
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Person | 97 | |
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Person | 97 | |
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Adult | 97 | |
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Male | 97 | |
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Man | 97 | |
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Person | 97 | |
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Person | 95.1 | |
| ||
Person | 94.5 | |
| ||
Person | 93.6 | |
| ||
Person | 91.6 | |
| ||
Hat | 90.8 | |
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Overcoat | 83.9 | |
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Person | 83.5 | |
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Face | 79.6 | |
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Head | 79.6 | |
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Person | 76.2 | |
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Blackboard | 64.9 | |
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Officer | 57 | |
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Long Sleeve | 55.7 | |
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Sleeve | 55.7 | |
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Fashion | 55.5 | |
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Captain | 55.4 | |
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Outdoors | 55.1 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
cemetery | 29.5 | |
| ||
stall | 28.1 | |
| ||
landscape | 17.8 | |
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travel | 17.6 | |
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city | 16.6 | |
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architecture | 15.6 | |
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sky | 14.7 | |
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earthenware | 14.3 | |
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old | 13.9 | |
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building | 13.9 | |
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industrial | 13.6 | |
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scene | 13 | |
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newspaper | 12.5 | |
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stone | 12.5 | |
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tourism | 12.4 | |
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water | 12 | |
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landmark | 11.7 | |
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rock | 11.3 | |
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ceramic ware | 10.7 | |
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rural | 10.6 | |
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product | 10.5 | |
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industry | 10.2 | |
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tree | 10 | |
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black | 9.6 | |
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memorial | 9.5 | |
| ||
structure | 9.4 | |
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monument | 9.3 | |
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dairy | 9.3 | |
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outdoor | 9.2 | |
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national | 9.1 | |
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summer | 9 | |
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scenic | 8.8 | |
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urban | 8.7 | |
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military | 8.7 | |
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sea | 8.6 | |
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earth | 8.2 | |
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graffito | 8.2 | |
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history | 8 | |
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snow | 8 | |
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country | 7.9 | |
| ||
winter | 7.7 | |
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creation | 7.6 | |
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house | 7.5 | |
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park | 7.4 | |
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environment | 7.4 | |
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countryside | 7.3 | |
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flag | 7.3 | |
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art | 7.3 | |
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dirty | 7.2 | |
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world | 7.1 | |
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mountain | 7.1 | |
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center | 7.1 | |
|
Google
created on 2018-05-10
white | 96.1 | |
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photograph | 95.1 | |
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black and white | 91.8 | |
| ||
monochrome photography | 83.1 | |
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standing | 80 | |
| ||
monochrome | 73.6 | |
| ||
history | 55.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-38 |
Gender | Male, 98.8% |
Calm | 68.6% |
Confused | 12.6% |
Angry | 7.7% |
Surprised | 7% |
Fear | 6.1% |
Disgusted | 5.5% |
Sad | 3.3% |
Happy | 0.9% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 99.9% |
Calm | 98.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.4% |
Happy | 0.2% |
Disgusted | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 53-61 |
Gender | Male, 100% |
Calm | 42.7% |
Angry | 27.8% |
Sad | 24.3% |
Surprised | 7.3% |
Fear | 6.3% |
Confused | 3.5% |
Disgusted | 2.5% |
Happy | 1.7% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.6% |
Calm | 98.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.6% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Feature analysis
Amazon
Person
Adult
Male
Man
Blackboard
Categories
Imagga
paintings art | 38.5% | |
| ||
streetview architecture | 25.4% | |
| ||
pets animals | 20.2% | |
| ||
nature landscape | 7.7% | |
| ||
text visuals | 4.4% | |
| ||
interior objects | 1.4% | |
|
Captions
Microsoft
created on 2018-05-10
a group of people standing in front of a building | 88.5% | |
| ||
a group of people standing in front of a store | 83.2% | |
| ||
a group of men standing in front of a building | 82.7% | |
|
Text analysis
Amazon

Fellows

College

(Harvard

DEMAND

Museums)

NO

NO C.W.A.

and

LAY

LAY OFFS

OFFS

C.W.A.

University

Art

President and Fellows of Harvard College (Harvard University Art Museums)

of

Harvard

RELIEF

JOIN

President

LEAGLE

P1970.3960.0000

CWAJORS

BR

WORKERN

CONTINLE

WAGE-CUTS

2012

EXTEND

N: 2012

=

N:

a

83
B R
DEMAND
NOC.WA.
AY OFFS
(NNİ
or
RELIEF
@ President and Fellows of Harvard College (Harvard University Art Museums)
P1970.3960.0000

83

B

R

DEMAND

NOC.WA.

AY

OFFS

(

NNİ

or

RELIEF

@

President

and

Fellows

of

Harvard

College

(Harvard

University

Art

Museums)

P1970.3960.0000