Machine Generated Data
Tags
Amazon
created on 2023-10-24
Adult | 98.8 | |
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Male | 98.8 | |
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Man | 98.8 | |
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Person | 98.8 | |
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Helmet | 94.4 | |
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Photography | 92.6 | |
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Person | 90.7 | |
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Face | 90 | |
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Head | 90 | |
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People | 86.9 | |
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Firearm | 83 | |
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Gun | 83 | |
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Rifle | 83 | |
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Weapon | 83 | |
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Computer Hardware | 70 | |
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Electronics | 70 | |
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Hardware | 70 | |
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Monitor | 70 | |
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Screen | 70 | |
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Military | 56.7 | |
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Plant | 56 | |
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Vegetation | 56 | |
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Portrait | 56 | |
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Military Uniform | 55.5 | |
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Clothing | 55.2 | |
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Hardhat | 55.2 | |
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Clarifai
created on 2018-10-05
Imagga
created on 2018-10-05
negative | 100 | |
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film | 100 | |
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photographic paper | 100 | |
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photographic equipment | 69.7 | |
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strip | 48.6 | |
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frame | 42.5 | |
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camera | 37.9 | |
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movie | 37.8 | |
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border | 34.4 | |
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cinema | 33.2 | |
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slide | 33.2 | |
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retro | 32.8 | |
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vintage | 29.8 | |
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filmstrip | 29.6 | |
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35mm | 28.6 | |
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old | 28.6 | |
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roll | 27.5 | |
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grunge | 26.4 | |
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black | 24.1 | |
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photograph | 24 | |
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graphic | 23.4 | |
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art | 22.8 | |
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reel | 22.6 | |
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photographic | 22.6 | |
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entertainment | 22.1 | |
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texture | 20.9 | |
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screen | 20.6 | |
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photography | 20 | |
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damaged | 19.1 | |
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blank | 18.9 | |
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digital | 18.7 | |
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design | 18.6 | |
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cinematography | 17.8 | |
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space | 16.3 | |
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antique | 15.6 | |
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empty | 15.5 | |
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aged | 15.4 | |
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clip | 14.9 | |
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exposure | 14.8 | |
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dirty | 14.5 | |
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noise | 13.7 | |
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video | 13.6 | |
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element | 13.2 | |
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rough | 12.8 | |
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frames | 12.7 | |
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equipment | 12.5 | |
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text | 12.2 | |
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banner | 12 | |
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silhouette | 11.6 | |
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tape | 11.6 | |
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pattern | 10.9 | |
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scratch | 10.7 | |
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rust | 10.6 | |
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industry | 10.2 | |
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positive | 10.1 | |
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scratches | 9.9 | |
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shoot | 9.7 | |
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edge | 9.6 | |
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track | 9.6 | |
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grungy | 9.5 | |
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canvas | 9.5 | |
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grain | 9.2 | |
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studio | 9.1 | |
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business | 9.1 | |
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style | 8.9 | |
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noisy | 8.9 | |
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structure | 8.6 | |
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paper | 8.6 | |
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3d | 8.5 | |
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backgrounds | 8.1 | |
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material | 8 | |
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decoration | 8 | |
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analog | 7.9 | |
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ancient | 7.8 | |
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your | 7.7 | |
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collage | 7.7 | |
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closeup | 7.4 | |
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historic | 7.3 | |
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effect | 7.3 | |
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Google
created on 2018-10-05
Microsoft
created on 2018-10-05
person | 92.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 48-56 |
Gender | Male, 100% |
Calm | 92.6% |
Fear | 6.7% |
Surprised | 6.6% |
Sad | 3.2% |
Angry | 0.8% |
Disgusted | 0.5% |
Confused | 0.4% |
Happy | 0.3% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 93.1% |
Fear | 80% |
Sad | 26.2% |
Calm | 10.5% |
Surprised | 8% |
Angry | 2.6% |
Confused | 1% |
Disgusted | 0.9% |
Happy | 0.5% |

Microsoft Cognitive Services
Age | 25 |
Gender | Male |
Feature analysis
Categories
Imagga
text visuals | 67.7% | |
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paintings art | 26.4% | |
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streetview architecture | 4.7% | |
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interior objects | 0.4% | |
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food drinks | 0.3% | |
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people portraits | 0.2% | |
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pets animals | 0.1% | |
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events parties | 0.1% | |
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nature landscape | 0.1% | |
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Captions
Microsoft
created on 2018-10-05
a man standing in front of a crowd | 67.8% | |
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a man that is standing in front of a crowd | 59% | |
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a person standing in front of a crowd | 58.9% | |
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Text analysis
Amazon

13

H.S

A

H -S
13

-S

H

13