Machine Generated Data
Tags
Amazon
created on 2023-10-06
Photography | 100 | |
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Adult | 99.4 | |
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Male | 99.4 | |
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Man | 99.4 | |
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Person | 99.4 | |
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Face | 87.9 | |
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Head | 87.9 | |
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Person | 76.6 | |
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Outdoors | 73.9 | |
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Portrait | 73 | |
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Binoculars | 61 | |
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Photographer | 57.1 | |
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Accessories | 56.7 | |
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Formal Wear | 56.7 | |
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Tie | 56.7 | |
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Sunglasses | 56.2 | |
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Nature | 55.7 | |
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Baseball Cap | 55.4 | |
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Cap | 55.4 | |
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Clothing | 55.4 | |
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Hat | 55.4 | |
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Indoors | 55.1 | |
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Interior Design | 55.1 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
sexy | 26.5 | |
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device | 24.3 | |
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adult | 21.4 | |
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body | 20.8 | |
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person | 18.6 | |
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people | 17.3 | |
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relaxation | 16.7 | |
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hair | 16.6 | |
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model | 16.3 | |
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attractive | 16.1 | |
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human | 15 | |
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pretty | 14 | |
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water | 13.3 | |
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portrait | 12.9 | |
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man | 12.8 | |
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sensuality | 12.7 | |
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skin | 12.7 | |
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nude | 12.6 | |
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lifestyle | 12.3 | |
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acoustic device | 12.1 | |
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sitting | 12 | |
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slim | 12 | |
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binoculars | 11.9 | |
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women | 11.9 | |
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megaphone | 11.8 | |
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wet | 11.6 | |
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naked | 11.6 | |
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brunette | 11.3 | |
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fashion | 11.3 | |
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shower | 11.2 | |
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lady | 10.6 | |
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indoors | 10.5 | |
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health | 10.4 | |
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erotic | 10.4 | |
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optical instrument | 10 | |
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gorgeous | 10 | |
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posing | 9.8 | |
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bikini | 9.5 | |
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bath | 9.5 | |
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male | 9.3 | |
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relax | 9.3 | |
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hand | 9.1 | |
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spa | 9 | |
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healthy | 8.8 | |
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bathroom | 8.8 | |
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instrument | 8.8 | |
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youth | 8.5 | |
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black | 8.4 | |
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clean | 8.4 | |
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skateboard | 8.3 | |
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one | 8.2 | |
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exercise | 8.2 | |
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dress | 8.1 | |
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face | 7.8 | |
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equipment | 7.6 | |
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hot | 7.5 | |
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care | 7.4 | |
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20s | 7.3 | |
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sensual | 7.3 | |
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home | 7.2 | |
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summer | 7.1 | |
|
Google
created on 2018-05-10
photograph | 96.2 | |
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black | 94.9 | |
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black and white | 92.9 | |
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monochrome photography | 85.5 | |
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photography | 83.7 | |
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wall | 82.6 | |
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snapshot | 81.8 | |
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monochrome | 72.3 | |
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angle | 57.8 | |
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stock photography | 56.7 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.6% |
Confused | 87.1% |
Surprised | 6.7% |
Fear | 6.3% |
Sad | 4.4% |
Calm | 4% |
Disgusted | 1.1% |
Angry | 0.6% |
Happy | 0.2% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 94.3% |
Calm | 80.2% |
Angry | 9.9% |
Surprised | 6.6% |
Happy | 6.2% |
Fear | 6.1% |
Sad | 2.7% |
Confused | 0.6% |
Disgusted | 0.3% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 87.6% | |
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streetview architecture | 11.4% | |
|
Captions
Microsoft
created on 2018-05-10
a man doing a trick on a skateboard | 25.4% | |
|
Text analysis
Amazon

HEALTI

UNIT-TZ

AIR UNIT-TZ

AIR

NATURALTINSTIT