Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 99.4 | |
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Human | 99.4 | |
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Person | 99 | |
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Person | 97.1 | |
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Person | 92.5 | |
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Crowd | 87 | |
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Person | 85.3 | |
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Person | 84.2 | |
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Drawing | 83.2 | |
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Art | 83.2 | |
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Person | 82.6 | |
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Pedestrian | 81.7 | |
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Urban | 78.1 | |
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People | 73.6 | |
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Person | 73.6 | |
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Building | 71.5 | |
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Person | 69.9 | |
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Face | 68.8 | |
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Audience | 64.2 | |
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Person | 63.9 | |
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City | 62.6 | |
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Town | 62.6 | |
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Person | 60.2 | |
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Text | 59.9 | |
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Sketch | 58.8 | |
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Neighborhood | 58.3 | |
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Photography | 56.1 | |
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Photo | 56.1 | |
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Parade | 55.4 | |
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Person | 47.7 | |
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Person | 44.2 | |
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Clarifai
created on 2023-10-26
people | 99.1 | |
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crowd | 99.1 | |
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monochrome | 98.2 | |
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many | 97.6 | |
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man | 96 | |
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adult | 95.2 | |
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horizontal plane | 93 | |
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outdoors | 92.5 | |
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street | 88 | |
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desktop | 87.6 | |
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city | 86.9 | |
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woman | 86.1 | |
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chair | 84.4 | |
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group | 84.2 | |
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winter | 81 | |
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group together | 80.2 | |
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audience | 78.1 | |
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architecture | 77.3 | |
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vertical | 76.6 | |
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business | 74.2 | |
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Imagga
created on 2022-01-22
scoreboard | 40.3 | |
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signboard | 38.1 | |
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city | 36.6 | |
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architecture | 32.8 | |
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gymnasium | 32.6 | |
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board | 31.4 | |
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athletic facility | 26.3 | |
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skyline | 24.7 | |
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facility | 24.7 | |
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urban | 24.5 | |
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cityscape | 23.7 | |
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building | 23.6 | |
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business | 22.5 | |
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downtown | 21.2 | |
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tower | 20.6 | |
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buildings | 19.9 | |
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structure | 18 | |
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sky | 17.9 | |
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modern | 16.1 | |
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scene | 15.6 | |
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negative | 15.5 | |
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drawing | 15.5 | |
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grunge | 15.3 | |
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silhouette | 14.9 | |
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construction | 14.6 | |
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skyscraper | 14.4 | |
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night | 14.2 | |
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office | 13.9 | |
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film | 13.7 | |
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finance | 13.5 | |
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design | 13.5 | |
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travel | 13.4 | |
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town | 13 | |
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bridge | 12.3 | |
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street | 12 | |
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landmark | 11.7 | |
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panorama | 11.4 | |
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old | 11.1 | |
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technology | 11.1 | |
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tourism | 10.7 | |
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art | 10.6 | |
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sketch | 10.5 | |
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success | 10.5 | |
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famous | 10.2 | |
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light | 10 | |
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retro | 9.8 | |
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skyscrapers | 9.8 | |
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industry | 9.4 | |
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river | 9.2 | |
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tourist | 9.2 | |
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house | 9.2 | |
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vintage | 9.1 | |
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sign | 9 | |
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currency | 9 | |
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landscape | 8.9 | |
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sea | 8.9 | |
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graphic | 8.8 | |
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center | 8.7 | |
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work | 8.6 | |
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bank | 8.6 | |
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money | 8.5 | |
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photographic paper | 8.3 | |
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data | 8.2 | |
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billboard | 8.2 | |
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dirty | 8.1 | |
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financial | 8 | |
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water | 8 | |
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metropolis | 7.8 | |
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district | 7.8 | |
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graph | 7.7 | |
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diagram | 7.7 | |
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plan | 7.6 | |
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commerce | 7.5 | |
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digital | 7.3 | |
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new | 7.3 | |
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black | 7.2 | |
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Google
created on 2022-01-22
Hat | 88.1 | |
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Font | 83.1 | |
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Art | 82.9 | |
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Line | 81.9 | |
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Urban design | 80.4 | |
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Adaptation | 79.4 | |
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People | 77.9 | |
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City | 74.4 | |
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Snapshot | 74.3 | |
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Illustration | 71 | |
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Crowd | 69.7 | |
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Room | 69.4 | |
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Monochrome | 69.3 | |
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Event | 69.3 | |
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Poster | 68.3 | |
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History | 66.1 | |
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Stock photography | 66 | |
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Window | 64.9 | |
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Building | 63.6 | |
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Paper product | 63.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 27-37 |
Gender | Female, 51% |
Sad | 68.8% |
Calm | 18% |
Confused | 5.9% |
Disgusted | 3.1% |
Surprised | 1.9% |
Angry | 1.2% |
Fear | 0.8% |
Happy | 0.2% |
AWS Rekognition
Age | 47-53 |
Gender | Female, 92.3% |
Calm | 98.7% |
Happy | 0.5% |
Sad | 0.3% |
Surprised | 0.2% |
Angry | 0.1% |
Fear | 0.1% |
Disgusted | 0.1% |
Confused | 0% |
Feature analysis
Amazon
Person | 99.4% | |
|
Text analysis
Amazon
CREAM
DeSoto
DeSoto Hotel
Hotel
ICE CREAM
ICE
WEAR
The
OLEANDER
31076
BANK
Serve-Eat
Campus
The Delicious
from
Colony.
FIRST
NATIONAL
Delicious
Young Colony.
to
CHILDRENS
Young
from Cradle to Campus
INFANTS
R
Cradle
OLEANDER ICE CRE
The un
TEEN'S
CRE
PATHER
un
DeSoto Hotel
Youg Colomy
PAMER
FIRST
NATIONAL
INFANTS
CNLDRENS
TEENS
from Cradle Campus
Serve-Eat
OLEANDER ICE CRF
The Delicious shment
OLEANDER
ICE CREAM
31076
Hotel
Colomy
PAMER
NATIONAL
INFANTS
TEENS
Cradle
Serve-Eat
CRF
CREAM
DeSoto
Youg
FIRST
CNLDRENS
from
Campus
OLEANDER
ICE
The
Delicious
shment
31076