Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 99.2 | |
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Person | 99.2 | |
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Person | 98.5 | |
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Person | 98.5 | |
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Person | 97.6 | |
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Person | 97.6 | |
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Person | 97.3 | |
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Person | 96.8 | |
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Clinic | 96.3 | |
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Person | 95.9 | |
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Person | 94.7 | |
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Person | 94.4 | |
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Person | 93.4 | |
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Person | 91.8 | |
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Person | 91.7 | |
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Person | 90.9 | |
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Person | 84.8 | |
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Hospital | 83.1 | |
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Person | 77.7 | |
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Person | 73.1 | |
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Operating Theatre | 69.3 | |
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Person | 67.5 | |
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Building | 66.4 | |
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Person | 65.6 | |
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Person | 64.8 | |
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Person | 61 | |
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Person | 58.6 | |
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Person | 49.4 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
newspaper | 55.6 | |
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product | 43.1 | |
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daily | 37.5 | |
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creation | 33.4 | |
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drawing | 24.1 | |
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building | 23.6 | |
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sketch | 23 | |
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architecture | 21.2 | |
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city | 19.9 | |
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business | 17 | |
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construction | 15.4 | |
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urban | 14.9 | |
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sky | 14.7 | |
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old | 13.9 | |
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history | 13.4 | |
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travel | 13.4 | |
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hall | 12.7 | |
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transportation | 12.5 | |
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representation | 11.9 | |
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station | 11 | |
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modern | 10.5 | |
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black | 10.2 | |
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grunge | 10.2 | |
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window | 10.1 | |
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transport | 10 | |
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interior | 9.7 | |
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design | 9.6 | |
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tourism | 9.1 | |
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structure | 8.7 | |
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roof | 8.6 | |
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wagon | 8.5 | |
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historical | 8.5 | |
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work | 8.3 | |
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vintage | 8.3 | |
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dirty | 8.1 | |
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landmark | 8.1 | |
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water | 8 | |
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river | 8 | |
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subway | 7.9 | |
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people | 7.8 | |
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scene | 7.8 | |
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ancient | 7.8 | |
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supermarket | 7.8 | |
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empty | 7.7 | |
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office | 7.6 | |
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pattern | 7.5 | |
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house | 7.5 | |
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floor | 7.4 | |
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man | 7.4 | |
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new | 7.3 | |
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industrial | 7.3 | |
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paint | 7.2 | |
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room | 7.2 | |
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summer | 7.1 | |
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glass | 7 | |
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Google
created on 2019-06-05
Photograph | 96.1 | |
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Text | 90.8 | |
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Snapshot | 86.6 | |
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Room | 71.4 | |
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Photography | 67.8 | |
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History | 67.6 | |
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Adaptation | 67 | |
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Photographic paper | 58.8 | |
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Art | 58.1 | |
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Collection | 54 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Disgusted | 49.5% |
Calm | 50% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.4% |
Angry | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Surprised | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.7% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Feature analysis
Amazon
Person
Categories
Imagga
streetview architecture | 28.8% | |
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paintings art | 24.1% | |
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text visuals | 15% | |
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events parties | 10.2% | |
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nature landscape | 7.8% | |
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beaches seaside | 5.6% | |
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interior objects | 3.4% | |
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people portraits | 1.7% | |
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pets animals | 1.1% | |
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food drinks | 1% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people sitting at a desk | 69.8% | |
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a group of people sitting at a desk in front of a store | 51.6% | |
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a group of people sitting at a table | 51.5% | |
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Text analysis
Amazon

Colored

Training

Calhoun

Agencies

Calhoun,

Promoting

Negro

the

Training Negero Girls in Domestie Seienee

Girls

in

Ala.

Negero

Agencies Promoting Assimilation of the Negro

Domestie Seienee

Calhoun Colored Sehoot. Calhoun, Ala.

Assimilation

of

Loundy

Loundy CIOS Copentry.

Sehoot.

CIOS

Copentry.

GSe 19.7.2510

Agencies Promoting Assimilation of the Negro
Training Negro Girls in Domestie Seience
GSe 29-7-25,10
Calhoun Colored School, Calhoun, Ala..
Loundry Class
Carpentry

Agencies

Promoting

Assimilation

of

the

Negro

Training

Girls

in

Domestie

Seience

GSe

29-7-25,10

Calhoun

Colored

School,

Calhoun,

Ala..

Loundry

Class

Carpentry