Machine Generated Data
Tags
Amazon
created on 2019-03-22
| Human | 98.5 | |
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| Person | 98.5 | |
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| Person | 90.8 | |
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| Person | 84.7 | |
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| Leisure Activities | 84 | |
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| Dance Pose | 84 | |
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| Crowd | 82 | |
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| Club | 78.1 | |
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| Night Club | 77.9 | |
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| Performer | 72.8 | |
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| Face | 72.6 | |
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| Finger | 68.8 | |
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| Female | 68.8 | |
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| Night Life | 65.3 | |
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| Girl | 61.8 | |
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| Clothing | 61.4 | |
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| Apparel | 61.4 | |
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| Musical Instrument | 58.3 | |
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| Musician | 58.3 | |
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| Dance | 55.4 | |
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Clarifai
created on 2019-03-22
Imagga
created on 2019-03-22
| black | 30.5 | |
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| person | 26.7 | |
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| body | 24.8 | |
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| percussion instrument | 24.6 | |
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| adult | 23.3 | |
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| sexy | 23.3 | |
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| maraca | 22.6 | |
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| musical instrument | 22.5 | |
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| people | 22.3 | |
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| dark | 21.7 | |
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| portrait | 21.3 | |
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| model | 21 | |
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| attractive | 21 | |
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| man | 20.2 | |
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| hair | 19.8 | |
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| fashion | 18.8 | |
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| male | 17.8 | |
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| one | 16.4 | |
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| face | 15.6 | |
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| skin | 15.2 | |
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| studio | 13.7 | |
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| sensuality | 13.6 | |
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| passion | 13.2 | |
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| lifestyle | 13 | |
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| looking | 12.8 | |
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| love | 12.6 | |
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| erotic | 12.4 | |
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| lady | 12.2 | |
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| performer | 11.8 | |
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| microphone | 11.6 | |
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| couple | 11.3 | |
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| dancer | 11.1 | |
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| fitness | 10.8 | |
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| handsome | 10.7 | |
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| night | 10.7 | |
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| naked | 10.6 | |
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| human | 10.5 | |
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| pretty | 10.5 | |
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| blond | 10.3 | |
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| fit | 10.1 | |
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| hand | 9.9 | |
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| posing | 9.8 | |
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| style | 9.6 | |
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| expression | 9.4 | |
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| sensual | 9.1 | |
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| gorgeous | 9.1 | |
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| wet | 8.9 | |
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| happy | 8.8 | |
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| light | 8.7 | |
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| mystery | 8.6 | |
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| pumpkin | 8.5 | |
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| sport | 8.3 | |
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| water | 8 | |
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| hands | 7.8 | |
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| child | 7.8 | |
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| nude | 7.8 | |
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| sexual | 7.7 | |
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| dance | 7.7 | |
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| seductive | 7.6 | |
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| health | 7.6 | |
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| rain | 7.5 | |
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| silhouette | 7.4 | |
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| training | 7.4 | |
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| device | 7.3 | |
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| music | 7.2 | |
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| entertainer | 7.2 | |
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| smile | 7.1 | |
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| women | 7.1 | |
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Google
created on 2019-03-22
| Fun | 70.4 | |
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| Photography | 67.8 | |
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| Gesture | 60.7 | |
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| Performance | 57.7 | |
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| Black-and-white | 56.4 | |
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| Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 99.3% |
| Disgusted | 3.5% |
| Angry | 4.9% |
| Surprised | 26.7% |
| Happy | 15.2% |
| Calm | 33.1% |
| Confused | 7% |
| Sad | 9.5% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 98.8% |
| Disgusted | 8.7% |
| Calm | 18.1% |
| Surprised | 8.2% |
| Happy | 8.6% |
| Sad | 5.9% |
| Confused | 38.2% |
| Angry | 12.3% |
Microsoft Cognitive Services
| Age | 24 |
| Gender | Female |
Google Vision
| Surprise | Possible |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| food drinks | 60.3% | |
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| macro flowers | 14.8% | |
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| interior objects | 13.7% | |
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| events parties | 3.7% | |
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| nature landscape | 2.7% | |
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| paintings art | 2.4% | |
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Captions
Microsoft
created on 2019-03-22
| a group of people standing in front of a mirror | 46.8% | |
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| a group of people standing in front of a mirror posing for the camera | 35.2% | |
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| a group of people in front of a mirror posing for the camera | 35.1% | |
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