Machine Generated Data
Tags
Amazon
created on 2019-11-19
Human | 99.5 | |
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Person | 99.5 | |
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Person | 97.7 | |
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Pedestrian | 96.7 | |
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Clothing | 89.2 | |
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Apparel | 89.2 | |
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Person | 84.9 | |
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Person | 83 | |
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Building | 80.9 | |
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Person | 77.3 | |
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Architecture | 73.6 | |
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Shorts | 73.1 | |
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Asphalt | 71.6 | |
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Tarmac | 71.6 | |
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Leisure Activities | 70.9 | |
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Path | 70.8 | |
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People | 63.7 | |
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Photography | 61.8 | |
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Photo | 61.8 | |
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Guitarist | 60.1 | |
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Guitar | 60.1 | |
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Musical Instrument | 60.1 | |
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Musician | 60.1 | |
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Performer | 60.1 | |
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Column | 57.9 | |
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Pillar | 57.9 | |
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Stage | 57.9 | |
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Sailor Suit | 57.6 | |
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Road | 57 | |
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Dance Pose | 56.6 | |
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Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
dark | 22.5 | |
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man | 21.5 | |
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person | 20.7 | |
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people | 20.1 | |
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black | 18.3 | |
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adult | 17.5 | |
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television | 16.4 | |
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model | 16.3 | |
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sexy | 16.1 | |
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body | 16 | |
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one | 15.7 | |
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light | 14.7 | |
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portrait | 14.2 | |
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studio | 13.7 | |
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hair | 13.5 | |
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male | 13.5 | |
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erotic | 13.4 | |
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fashion | 12.8 | |
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car | 12.3 | |
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world | 12 | |
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equipment | 11.4 | |
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attractive | 11.2 | |
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night | 10.7 | |
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device | 10.5 | |
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human | 10.5 | |
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urban | 10.5 | |
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style | 10.4 | |
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seat | 10.3 | |
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skin | 10.2 | |
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sensual | 10 | |
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vehicle | 9.7 | |
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silhouette | 9.1 | |
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pretty | 9.1 | |
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job | 8.8 | |
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water | 8.7 | |
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work | 8.6 | |
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automobile | 8.6 | |
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motion | 8.6 | |
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telecommunication system | 8.4 | |
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city | 8.3 | |
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inside | 8.3 | |
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art | 8.3 | |
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sensuality | 8.2 | |
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exercise | 8.2 | |
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lady | 8.1 | |
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wet | 8 | |
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metal | 8 | |
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worker | 8 | |
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looking | 8 | |
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posing | 8 | |
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women | 7.9 | |
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travel | 7.7 | |
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dance | 7.7 | |
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industry | 7.7 | |
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conveyance | 7.7 | |
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grunge | 7.7 | |
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stretcher | 7.5 | |
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enjoy | 7.5 | |
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fun | 7.5 | |
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dancer | 7.4 | |
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business | 7.3 | |
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industrial | 7.3 | |
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cockpit | 7.2 | |
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transportation | 7.2 | |
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face | 7.1 | |
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cadaver | 7.1 | |
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steel | 7.1 | |
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Google
created on 2019-11-19
Black | 96 | |
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Photograph | 95.4 | |
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Black-and-white | 88.5 | |
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Snapshot | 84.9 | |
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Monochrome | 84.4 | |
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Photography | 75.7 | |
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Monochrome photography | 69.6 | |
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Room | 65.7 | |
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Sport venue | 54.2 | |
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Style | 52.5 | |
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Microsoft
created on 2019-11-19
black and white | 94.9 | |
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text | 92.7 | |
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indoor | 86.6 | |
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street | 84.4 | |
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monochrome | 81.3 | |
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clothing | 70.2 | |
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person | 63.5 | |
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footwear | 59.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 14-26 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Sad | 50.1% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Fear | 49.7% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 15-27 |
Gender | Male, 50.1% |
Calm | 49.6% |
Sad | 49.9% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Fear | 49.9% |
Disgusted | 49.5% |

AWS Rekognition
Age | 15-27 |
Gender | Female, 50.2% |
Angry | 49.5% |
Disgusted | 49.5% |
Fear | 50.3% |
Sad | 49.6% |
Surprised | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Feature analysis
Categories
Imagga
food drinks | 32.8% | |
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interior objects | 17.9% | |
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paintings art | 16.7% | |
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events parties | 12.8% | |
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cars vehicles | 9.9% | |
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streetview architecture | 3.8% | |
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text visuals | 3.1% | |
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pets animals | 1% | |
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Captions
Microsoft
created on 2019-11-19
a person standing in a room | 60.7% | |
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a person in a white room | 52.8% | |
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