Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clothing | 99.8 | |
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Apparel | 99.8 | |
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Person | 98.4 | |
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Human | 98.4 | |
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Overcoat | 97.3 | |
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Coat | 97.3 | |
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Person | 96.9 | |
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Tie | 95.6 | |
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Accessories | 95.6 | |
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Accessory | 95.6 | |
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Sunglasses | 95.6 | |
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Person | 84.5 | |
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Person | 84.1 | |
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Suit | 82.7 | |
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Tuxedo | 82.2 | |
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Person | 82 | |
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Text | 67 | |
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Shirt | 66.9 | |
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Person | 65.2 | |
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Hat | 62.3 | |
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Smoke | 62.2 | |
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Military Uniform | 59.1 | |
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Military | 59.1 | |
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Home Decor | 57 | |
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Sun Hat | 56.3 | |
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Person | 50.7 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
man | 32.2 | |
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person | 25.8 | |
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people | 22.8 | |
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male | 22.7 | |
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work | 18.8 | |
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adult | 16.2 | |
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black | 16.2 | |
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old | 16 | |
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men | 15.4 | |
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job | 14.1 | |
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building | 13.8 | |
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business | 13.3 | |
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world | 12.8 | |
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architecture | 12.5 | |
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mask | 12.2 | |
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engineer | 12.2 | |
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group | 12.1 | |
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construction | 12 | |
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professional | 11.9 | |
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worker | 11.8 | |
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city | 11.6 | |
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businessman | 11.5 | |
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serious | 11.4 | |
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standing | 10.4 | |
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portrait | 10.3 | |
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clothing | 9.4 | |
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industry | 9.4 | |
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occupation | 9.2 | |
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tourism | 9.1 | |
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equipment | 8.6 | |
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builder | 8.5 | |
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human | 8.2 | |
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industrial | 8.2 | |
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working | 7.9 | |
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coat | 7.9 | |
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suit | 7.9 | |
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film | 7.8 | |
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manager | 7.4 | |
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safety | 7.4 | |
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brass | 7.3 | |
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protection | 7.3 | |
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danger | 7.3 | |
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dirty | 7.2 | |
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negative | 7.2 | |
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looking | 7.2 | |
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covering | 7.2 | |
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women | 7.1 | |
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face | 7.1 | |
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helmet | 7 | |
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white | 7 | |
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Google
created on 2022-01-09
Coat | 87.6 | |
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Sleeve | 87.2 | |
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Black-and-white | 86.1 | |
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Gesture | 85.2 | |
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Collar | 83.9 | |
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Style | 83.9 | |
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Hat | 79.8 | |
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Adaptation | 79.3 | |
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Blazer | 78 | |
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Eyewear | 77.4 | |
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Art | 76.7 | |
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Monochrome | 76.5 | |
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Monochrome photography | 76.3 | |
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Tints and shades | 75.8 | |
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Font | 74.1 | |
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Formal wear | 73.3 | |
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Vintage clothing | 73.2 | |
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Sun hat | 67 | |
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Pattern | 66.2 | |
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Fashion design | 64.8 | |
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Microsoft
created on 2022-01-09
text | 96.9 | |
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person | 95.9 | |
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clothing | 95.4 | |
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man | 91.7 | |
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black and white | 87.7 | |
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human face | 79.9 | |
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drawing | 71.9 | |
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glasses | 56.7 | |
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sunglasses | 55.1 | |
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monochrome | 52.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-46 |
Gender | Male, 99.7% |
Calm | 51.1% |
Sad | 27.3% |
Disgusted | 10.9% |
Confused | 3.3% |
Surprised | 3% |
Angry | 2.6% |
Fear | 1% |
Happy | 0.7% |
Feature analysis
Categories
Imagga
streetview architecture | 94.6% | |
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nature landscape | 2.3% | |
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paintings art | 2.1% | |
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Captions
Microsoft
created on 2022-01-09
a group of people standing in front of a mirror posing for the camera | 85% | |
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a group of people standing in front of a mirror | 84.9% | |
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a group of people in front of a mirror posing for the camera | 84.8% | |
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Text analysis
Amazon

110.79

ISO

LLC79

L079
OSI
HAGOX- YT33A2-NAMTZAR

L079

OSI

HAGOX-

YT33A2-NAMTZAR