Machine Generated Data
Tags
Amazon
created on 2022-01-16
Collage | 99.7 | |
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Advertisement | 99.7 | |
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Person | 98 | |
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Human | 98 | |
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Person | 94.9 | |
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Person | 93.4 | |
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Person | 92.7 | |
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Person | 91.9 | |
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Metropolis | 91.7 | |
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Building | 91.7 | |
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City | 91.7 | |
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Town | 91.7 | |
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Urban | 91.7 | |
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Person | 85.8 | |
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Person | 83 | |
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Flyer | 80.2 | |
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Brochure | 80.2 | |
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Paper | 80.2 | |
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Person | 79.9 | |
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Person | 77.6 | |
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Person | 77 | |
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Person | 76.5 | |
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People | 70 | |
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Poster | 66 | |
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Person | 64.8 | |
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Person | 64.1 | |
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Person | 64 | |
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Person | 62.6 | |
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Screen | 61.8 | |
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Electronics | 61.8 | |
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Person | 61.6 | |
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Person | 61.6 | |
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Monitor | 59.5 | |
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Display | 59.5 | |
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Person | 57.5 | |
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Person | 55.1 | |
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Person | 51.2 | |
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Person | 47.4 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-16
web site | 45.3 | |
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shoe shop | 44.3 | |
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night | 40 | |
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city | 36.6 | |
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shop | 35.8 | |
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architecture | 32 | |
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building | 31.2 | |
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mercantile establishment | 27.7 | |
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skyline | 26.6 | |
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urban | 25.3 | |
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modern | 25.2 | |
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tower | 23.3 | |
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skyscraper | 23 | |
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downtown | 22.1 | |
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cityscape | 20.8 | |
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travel | 19.7 | |
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business | 18.8 | |
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light | 18.7 | |
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place of business | 18.4 | |
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scoreboard | 17.8 | |
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landmark | 17.1 | |
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signboard | 16.1 | |
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buildings | 16.1 | |
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stall | 15.9 | |
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office | 15 | |
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tourism | 14.8 | |
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lights | 14.8 | |
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board | 14.8 | |
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equipment | 14.7 | |
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dark | 14.2 | |
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evening | 14 | |
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famous | 13 | |
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scene | 13 | |
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structure | 12.6 | |
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reflection | 12.4 | |
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sky | 12.1 | |
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street | 12 | |
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technology | 11.9 | |
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design | 11.8 | |
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sequencer | 11.2 | |
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town | 11.1 | |
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tourist | 10.9 | |
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black | 10.8 | |
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dusk | 10.5 | |
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high | 10.4 | |
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construction | 10.3 | |
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metropolis | 9.8 | |
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landscape | 9.7 | |
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text | 9.6 | |
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bridge | 9.4 | |
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tall | 9.4 | |
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destination | 9.4 | |
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water | 9.3 | |
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electronic equipment | 9.2 | |
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establishment | 9.2 | |
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apparatus | 9.2 | |
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mixer | 9.1 | |
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financial | 8.9 | |
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metropolitan | 8.8 | |
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skyscrapers | 8.8 | |
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graphic | 8.8 | |
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district | 8.7 | |
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screen | 8.6 | |
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panorama | 8.6 | |
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finance | 8.4 | |
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display | 8.3 | |
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style | 8.2 | |
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center | 8.1 | |
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industry | 7.7 | |
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illuminated | 7.6 | |
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development | 7.6 | |
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new | 7.3 | |
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river | 7.1 | |
|
Google
created on 2022-01-16
Rectangle | 90.3 | |
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Black | 89.5 | |
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Font | 82.1 | |
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Technology | 76.6 | |
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Art | 76.5 | |
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Beauty | 74.9 | |
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Facade | 71.7 | |
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Eyelash | 71.6 | |
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Pattern | 71 | |
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Event | 68.3 | |
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Display device | 65.5 | |
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Magenta | 64.8 | |
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Monochrome photography | 64.1 | |
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Monochrome | 63.8 | |
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Audio equipment | 63.4 | |
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Metal | 61.1 | |
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Eyewear | 60.6 | |
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Symmetry | 60.3 | |
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Collage | 59.1 | |
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Multimedia | 58.5 | |
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Microsoft
created on 2022-01-16
text | 99.6 | |
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screenshot | 92 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-22 |
Gender | Male, 99.4% |
Fear | 96.3% |
Angry | 1.9% |
Happy | 0.7% |
Sad | 0.6% |
Calm | 0.3% |
Surprised | 0.2% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 99.8% |
Calm | 73.4% |
Fear | 19.8% |
Sad | 2% |
Confused | 1.6% |
Happy | 1.4% |
Angry | 0.9% |
Disgusted | 0.4% |
Surprised | 0.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 95.2% |
Sad | 49% |
Calm | 19.3% |
Disgusted | 14.9% |
Fear | 8.3% |
Happy | 3.8% |
Confused | 2.8% |
Angry | 1.5% |
Surprised | 0.5% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 99.9% |
Angry | 47.3% |
Calm | 29.1% |
Confused | 15.1% |
Happy | 2.4% |
Disgusted | 2.3% |
Surprised | 1.6% |
Fear | 1.3% |
Sad | 1% |

AWS Rekognition
Age | 13-21 |
Gender | Male, 96.4% |
Fear | 95.2% |
Surprised | 1.7% |
Sad | 1.1% |
Calm | 0.7% |
Angry | 0.6% |
Happy | 0.4% |
Confused | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 88.6% |
Sad | 39.4% |
Angry | 39% |
Calm | 15.7% |
Fear | 2.4% |
Surprised | 1.1% |
Confused | 1% |
Happy | 0.8% |
Disgusted | 0.6% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 97% |
Fear | 90.1% |
Sad | 5.2% |
Calm | 3% |
Angry | 0.8% |
Happy | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |
Confused | 0.2% |

AWS Rekognition
Age | 6-12 |
Gender | Male, 99.9% |
Sad | 49.9% |
Angry | 25% |
Fear | 13.1% |
Calm | 8.7% |
Surprised | 1% |
Happy | 0.9% |
Disgusted | 0.8% |
Confused | 0.6% |
Feature analysis
Categories
Imagga
text visuals | 77.3% | |
| ||
paintings art | 11.4% | |
| ||
streetview architecture | 8% | |
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nature landscape | 2.6% | |
|
Captions
Microsoft
created on 2022-01-16
a screen shot of a store window | 62.7% | |
| ||
a screen shot of a store | 62.6% | |
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a display in a store window | 55.6% | |
|
Text analysis
Amazon

SAFETY

28

32

PAN

22

PAN FILM

FILM

24

34

SAFETY FILM

KODAK

18A

22A

20

19A

25A

24A

->30

->27

->35

->26

->23A

->26A

->32A

->29A

FETT

->36A

FILM->13

->29

->20A

>25

->14A

->15A

RODAK

KODAK TRI

->31

->36

>BA

>23

->35A

KODAK TRI A PAN FILM

->34A

-16

10

->30A

->16A

TRI

->14

2BA

10A

A

KODAK TRI X PANFILM

12ODAK FILM->13

.

THE

>١١٨

ЗЗА

-

RODAK TRI x

TRI X

-13A

KODARPTRI

x

ولجاما PAN FILINDSA

- C

КОВАК

->31A

z

SODAK

>>

PANFILM

7A

KODARPTRI z PARTITA

->27A

C

KODAR-

12ODAK

5A

->4A

PARTITA

-22A

-99

FILINDSA

ولجاما

FETY FILM
KODAK TRII PAN TILM
2ODAK TR PAN FIL A
KODAR arETY FiCPSA
KODAK TRI
BA
9A..
KODAK
120DAK TR 2AFAN FILMM 13
10A
13A
SAFETO FILM
PAN FILM
KODAK SAFETY
14A
19A
SAFETY F ILM
KODATRI X PAR
18A
18.
15A
16
16A
KOBAK
14
22
KODAK TRI X PAN FILM
22A
20A
23A
KODA 24
24A
→25A
KODAK
SAFETY
FILM
KODAK TRI X PAM FILM
SAFETY
KODAK TRIX PAN FILM
KODAK
FILM
26A
>27A
28A
31 31A
33A
34
34A
35
3SA
36A
32

FETY

FILM

KODAK

TRII

PAN

TILM

2ODAK

TR

FIL

A

KODAR

arETY

FiCPSA

TRI

BA

9A..

120DAK

2AFAN

FILMM

13

10A

13A

SAFETO

SAFETY

14A

19A

F

ILM

KODATRI

X

PAR

18A

18.

15A

16

16A

KOBAK

14

22

22A

20A

23A

KODA

24

24A

→25A

PAM

TRIX

26A

>27A

28A

31

31A

33A

34

34A

35

3SA

36A

32