Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
stage | 100 | |
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platform | 93.2 | |
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silhouette | 32.3 | |
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people | 27.9 | |
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person | 25 | |
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lights | 23.2 | |
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crowd | 23 | |
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cheering | 21.6 | |
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audience | 21.4 | |
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stadium | 21.4 | |
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flag | 21.2 | |
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patriotic | 21.1 | |
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nation | 20.8 | |
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nighttime | 20.5 | |
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blackboard | 20.2 | |
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man | 20.2 | |
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symbol | 19.5 | |
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event | 18.5 | |
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athlete | 18.3 | |
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sport | 18.3 | |
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male | 17.7 | |
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icon | 17.4 | |
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player | 17.1 | |
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match | 16.4 | |
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team | 16.1 | |
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water | 16 | |
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training | 15.7 | |
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championship | 15.6 | |
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skill | 15.4 | |
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muscular | 15.3 | |
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field | 15.1 | |
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park | 14.8 | |
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sky | 14.7 | |
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competition | 14.6 | |
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beach | 13.5 | |
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vibrant | 13.1 | |
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group | 12.9 | |
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design | 11.8 | |
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black | 10.8 | |
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bright | 10.7 | |
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travel | 10.6 | |
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ball | 10.5 | |
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billboard | 10.4 | |
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world | 10.4 | |
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glowing | 10.2 | |
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playing | 10 | |
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ocean | 10 | |
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sunset | 9.9 | |
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night | 9.8 | |
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kick | 9.8 | |
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soccer | 9.6 | |
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goal | 9.6 | |
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football | 9.6 | |
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men | 9.4 | |
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vivid | 9.3 | |
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teamwork | 9.3 | |
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global | 9.1 | |
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tourism | 9.1 | |
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landscape | 8.9 | |
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businessman | 8.8 | |
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pass | 8.8 | |
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shoot | 8.7 | |
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sea | 8.6 | |
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signboard | 8.4 | |
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business | 7.9 | |
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versus | 7.9 | |
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adult | 7.9 | |
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summer | 7.7 | |
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classroom | 7.6 | |
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teacher | 7.6 | |
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hand | 7.6 | |
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dark | 7.5 | |
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evening | 7.5 | |
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structure | 7.4 | |
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light | 7.4 | |
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sun | 7.2 | |
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student | 7.2 | |
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fresh | 7.2 | |
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coast | 7.2 | |
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school | 7.2 | |
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shiny | 7.1 | |
|
Google
created on 2022-01-23
Black | 89.7 | |
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Rectangle | 88.4 | |
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Font | 82.3 | |
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Adaptation | 79.3 | |
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Grass | 76.9 | |
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Monochrome photography | 69.8 | |
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Event | 69.5 | |
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Monochrome | 67.2 | |
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Team | 66.7 | |
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Photo caption | 66.3 | |
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Stock photography | 63.2 | |
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Player | 61.4 | |
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Display device | 61.3 | |
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Advertising | 61.1 | |
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Room | 60.4 | |
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Team sport | 55.5 | |
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Crowd | 54.6 | |
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Photographic paper | 54.2 | |
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Happy | 52.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-31 |
Gender | Male, 92.7% |
Calm | 39.5% |
Sad | 33.7% |
Surprised | 8.8% |
Angry | 5.7% |
Happy | 5.6% |
Fear | 2.7% |
Confused | 2.5% |
Disgusted | 1.4% |
AWS Rekognition
Age | 30-40 |
Gender | Male, 98.9% |
Calm | 61.8% |
Angry | 14.2% |
Sad | 10.3% |
Happy | 4.4% |
Confused | 4.1% |
Surprised | 2.1% |
Disgusted | 1.8% |
Fear | 1.4% |
Feature analysis
Amazon
Person | 96.8% | |
|
Text analysis
Amazon
12012.
12012.
72012.
12012.
72012.