Machine Generated Data
Tags
Amazon
Human | 97.3 | |
| ||
Person | 97.3 | |
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Person | 94.7 | |
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Person | 90.1 | |
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Person | 81.4 | |
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Art | 76.6 | |
| ||
Person | 73.5 | |
| ||
Person | 70 | |
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Theme Park | 64.7 | |
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Amusement Park | 64.7 | |
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Tent | 64.5 | |
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Person | 61.9 | |
| ||
Neighborhood | 58.6 | |
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Urban | 58.6 | |
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Building | 58.6 | |
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Water | 56.4 | |
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Drawing | 55.2 | |
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Game | 55 | |
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Jigsaw Puzzle | 55 | |
| ||
Person | 54.6 | |
|
Clarifai
Imagga
building | 38 | |
| ||
architecture | 37.5 | |
| ||
city | 32.4 | |
| ||
jigsaw puzzle | 29.1 | |
| ||
travel | 28.2 | |
| ||
old | 27.9 | |
| ||
town | 27.8 | |
| ||
tourism | 24.8 | |
| ||
structure | 23.4 | |
| ||
puzzle | 22.9 | |
| ||
roof | 22.5 | |
| ||
house | 21.7 | |
| ||
university | 21.2 | |
| ||
church | 20.3 | |
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sky | 15.9 | |
| ||
game | 15.7 | |
| ||
palace | 15.7 | |
| ||
panorama | 15.3 | |
| ||
buildings | 15.1 | |
| ||
street | 14.7 | |
| ||
cathedral | 14.6 | |
| ||
landmark | 14.4 | |
| ||
history | 14.3 | |
| ||
cityscape | 14.2 | |
| ||
facade | 13.7 | |
| ||
landscape | 13.4 | |
| ||
river | 13.3 | |
| ||
historical | 13.2 | |
| ||
map | 12.8 | |
| ||
tourist | 12.7 | |
| ||
water | 12.7 | |
| ||
tower | 12.5 | |
| ||
park | 12.4 | |
| ||
vacation | 12.3 | |
| ||
exterior | 12 | |
| ||
culture | 12 | |
| ||
houses | 11.6 | |
| ||
center | 11.4 | |
| ||
capital | 11.4 | |
| ||
urban | 11.4 | |
| ||
scene | 11.3 | |
| ||
dome | 11.1 | |
| ||
historic | 11 | |
| ||
temple | 11 | |
| ||
summer | 10.9 | |
| ||
castle | 10.8 | |
| ||
vintage | 10.8 | |
| ||
art | 10.6 | |
| ||
ancient | 10.4 | |
| ||
holiday | 10 | |
| ||
decoration | 9.9 | |
| ||
religion | 9.9 | |
| ||
aerial | 9.7 | |
| ||
skyline | 9.5 | |
| ||
bridge | 9.5 | |
| ||
famous | 9.3 | |
| ||
wall | 9.2 | |
| ||
outdoors | 9 | |
| ||
antique | 8.7 | |
| ||
medieval | 8.6 | |
| ||
stone | 8.6 | |
| ||
window | 8.5 | |
| ||
altar | 8.5 | |
| ||
monument | 8.4 | |
| ||
square | 8.1 | |
| ||
scenic | 7.9 | |
| ||
republic | 7.8 | |
| ||
cities | 7.8 | |
| ||
outdoor | 7.6 | |
| ||
resort | 7.5 | |
| ||
hill | 7.5 | |
| ||
traditional | 7.5 | |
| ||
place | 7.4 | |
| ||
design | 7.3 | |
| ||
tile | 7.3 | |
| ||
scenery | 7.2 | |
| ||
home | 7.2 | |
| ||
tree | 7.2 | |
| ||
sea | 7 | |
|
Illustration | 82.4 | |
| ||
Art | 70.9 | |
| ||
Urban design | 69.5 | |
| ||
Adaptation | 67 | |
| ||
Recreation | 59.4 | |
| ||
World | 57.5 | |
| ||
Mural | 56.3 | |
| ||
Leisure | 56.2 | |
| ||
Residential area | 53.4 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 4-12 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Fear | 49.5% |
Sad | 49.5% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 50.5% |
Fear | 49.7% |
Sad | 49.8% |
Calm | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
Surprised | 49.6% |
Feature analysis
Text analysis
Amazon

12

6tXiart

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CR

CIP -CFA

OeNE

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垣

名

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文

謬