Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-10
washer | 78.9 | |
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white goods | 60.9 | |
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home appliance | 45.6 | |
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appliance | 33.1 | |
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tire | 24.6 | |
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toilet | 24 | |
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bowl | 20.5 | |
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wheel | 18.5 | |
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music | 18 | |
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sound | 17.8 | |
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equipment | 17.6 | |
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close | 16.5 | |
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speaker | 16.5 | |
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seat | 15.3 | |
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audio | 15.3 | |
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durables | 15.2 | |
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motion | 14.5 | |
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hoop | 14.4 | |
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window | 14.2 | |
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vessel | 14.1 | |
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light | 14 | |
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machine | 13.9 | |
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black | 13.8 | |
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toilet seat | 13 | |
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digital | 13 | |
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container | 12.6 | |
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technology | 12.6 | |
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entertainment | 12 | |
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modern | 11.9 | |
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bass | 11.7 | |
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color | 11.7 | |
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electronics | 11.4 | |
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loud | 10.8 | |
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stereo | 10.7 | |
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design | 10.7 | |
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band | 10.6 | |
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laundry | 10.5 | |
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texture | 10.4 | |
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closeup | 10.1 | |
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fractal | 10.1 | |
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treble | 9.9 | |
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volume | 9.7 | |
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shape | 9.7 | |
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home | 9.6 | |
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car wheel | 9.4 | |
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car | 9.2 | |
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wallpaper | 9.2 | |
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studio | 9.1 | |
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art | 9.1 | |
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transportation | 9 | |
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detail | 8.8 | |
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automobile | 8.6 | |
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circle | 8.6 | |
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dynamic | 8.5 | |
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clean | 8.3 | |
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loudspeaker | 8.3 | |
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pattern | 8.2 | |
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soft | 8.1 | |
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graphic | 8 | |
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liquid | 7.9 | |
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colorful | 7.9 | |
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curve | 7.9 | |
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washing | 7.8 | |
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wave | 7.8 | |
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round | 7.8 | |
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auto | 7.6 | |
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system | 7.6 | |
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furniture | 7.5 | |
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speed | 7.3 | |
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effect | 7.3 | |
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fantasy | 7.2 | |
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strip | 7.1 | |
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travel | 7 | |
|
Google
created on 2022-06-10
Black | 89.5 | |
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Style | 83.8 | |
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Art | 76.7 | |
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Circle | 76.6 | |
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Monochrome photography | 72.1 | |
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Monochrome | 70.5 | |
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Sculpture | 68 | |
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Oval | 67.7 | |
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Metal | 64.1 | |
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Carving | 60.9 | |
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Jewellery | 60.6 | |
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Automotive tire | 60.6 | |
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Sitting | 57.9 | |
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Still life photography | 56.3 | |
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Portrait photography | 56 | |
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Portrait | 55.9 | |
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Serveware | 54.8 | |
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Flash photography | 52 | |
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Child | 51.4 | |
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Microsoft
created on 2022-06-10
human face | 95.7 | |
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statue | 93 | |
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mirror | 89.8 | |
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black and white | 87.1 | |
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person | 86.9 | |
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white goods | 61.2 | |
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camera lens | 30.2 | |
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washer | 14 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 28-38 |
Gender | Female, 69.2% |
Calm | 99.4% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.1% |
Disgusted | 0% |
Angry | 0% |
Confused | 0% |
Microsoft Cognitive Services
Age | 28 |
Gender | Male |
Feature analysis
Amazon
Person | 90.4% | |
|
Text analysis
Amazon
5798
FUNTOAD
S
9623
AND INDI INDON
9623
AND
INDI
INDON