Machine Generated Data
Tags
Amazon
created on 2022-03-19
Person | 99.6 | |
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Human | 99.6 | |
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Person | 99.5 | |
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Person | 98.8 | |
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Person | 98.8 | |
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Clothing | 97.4 | |
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Apparel | 97.4 | |
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Bus | 96.2 | |
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Vehicle | 96.2 | |
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Transportation | 96.2 | |
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Train Station | 95.6 | |
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Train | 95.6 | |
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Terminal | 95.6 | |
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Person | 95.2 | |
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Path | 82.1 | |
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Shoe | 76.7 | |
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Footwear | 76.7 | |
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Shoe | 75.7 | |
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Shorts | 73.9 | |
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Wheel | 70.3 | |
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Machine | 70.3 | |
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Overcoat | 64.1 | |
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Coat | 64.1 | |
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Sidewalk | 59.1 | |
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Pavement | 59.1 | |
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Pedestrian | 58.4 | |
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Hat | 57 | |
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Clarifai
created on 2023-10-28
Imagga
created on 2022-03-19
sliding door | 33.7 | |
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door | 33.5 | |
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movable barrier | 31.6 | |
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interior | 25.6 | |
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gate | 25.6 | |
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architecture | 24.4 | |
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building | 22.6 | |
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barrier | 22.4 | |
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window | 21.9 | |
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urban | 21.8 | |
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shop | 19.5 | |
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turnstile | 19 | |
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modern | 17.5 | |
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transportation | 17 | |
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city | 16.6 | |
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inside | 16.6 | |
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people | 16.2 | |
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light | 16 | |
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station | 15.6 | |
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glass | 15.6 | |
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indoors | 14.9 | |
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barbershop | 14.7 | |
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business | 14.6 | |
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structure | 14.5 | |
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travel | 14.1 | |
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hall | 14 | |
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indoor | 13.7 | |
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empty | 12.9 | |
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entrance | 12.6 | |
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transport | 11.9 | |
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passenger | 11.7 | |
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room | 11.5 | |
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man | 11.4 | |
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obstruction | 10.9 | |
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corridor | 10.8 | |
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cafeteria | 10.6 | |
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metal | 10.5 | |
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mercantile establishment | 10.4 | |
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life | 10.3 | |
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office | 10.2 | |
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chair | 9.9 | |
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old | 9.7 | |
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restaurant | 9.7 | |
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industry | 9.4 | |
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floor | 9.3 | |
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house | 9.2 | |
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tourism | 9.1 | |
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furniture | 9 | |
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airport | 8.8 | |
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wall | 8.5 | |
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device | 8.5 | |
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design | 8.4 | |
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silhouette | 8.3 | |
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security | 8.3 | |
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shopping | 8.3 | |
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new | 8.1 | |
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home | 8 | |
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male | 7.8 | |
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mall | 7.8 | |
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table | 7.8 | |
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men | 7.7 | |
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motion | 7.7 | |
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crowd | 7.7 | |
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roof | 7.6 | |
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elegance | 7.6 | |
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fashion | 7.5 | |
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train | 7.5 | |
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equipment | 7.5 | |
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perspective | 7.5 | |
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place | 7.4 | |
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reflection | 7.3 | |
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place of business | 7.1 | |
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women | 7.1 | |
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adult | 7.1 | |
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steel | 7.1 | |
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Google
created on 2022-03-19
Building | 88.1 | |
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Black-and-white | 85.5 | |
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Style | 84 | |
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Hat | 81.4 | |
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Font | 81.1 | |
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Monochrome photography | 74.8 | |
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Monochrome | 74.3 | |
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City | 71.5 | |
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Street | 70.5 | |
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Art | 69.9 | |
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Road | 67.7 | |
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Advertising | 66.6 | |
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Stock photography | 63.8 | |
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Pedestrian | 61.7 | |
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Room | 60.9 | |
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Street fashion | 60.5 | |
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Sun hat | 58.1 | |
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Photographic paper | 57.7 | |
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Visual arts | 57 | |
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Vintage clothing | 56 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 54-64 |
Gender | Male, 100% |
Happy | 33.4% |
Calm | 18.8% |
Disgusted | 16.3% |
Sad | 9.7% |
Confused | 8.4% |
Angry | 5.7% |
Fear | 4.1% |
Surprised | 3.5% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 71% |
Calm | 54.6% |
Confused | 15.3% |
Angry | 12.3% |
Surprised | 7.9% |
Sad | 7.2% |
Disgusted | 1% |
Happy | 0.9% |
Fear | 0.8% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 98.7% |
Confused | 69.8% |
Sad | 14.2% |
Calm | 10.9% |
Angry | 2.4% |
Fear | 1.3% |
Surprised | 0.7% |
Disgusted | 0.5% |
Happy | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.8% |
Calm | 56.7% |
Happy | 30.6% |
Angry | 5.4% |
Sad | 4.2% |
Confused | 1.7% |
Surprised | 0.5% |
Disgusted | 0.5% |
Fear | 0.3% |

Microsoft Cognitive Services
Age | 64 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 68.7% | |
| ||
interior objects | 21% | |
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paintings art | 9.2% | |
|
Captions
Microsoft
created on 2022-03-19
a group of people standing in front of a store window | 87.8% | |
| ||
a person standing in front of a store window | 86.6% | |
| ||
a group of people standing in front of a store | 86.5% | |
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Text analysis
Amazon

MAN

SIX GUN MAN

GUN

Bob

Bob STEELE

STEELE

SIX

LIQUORS

WINES&

ЛАН

TWO•BIGFEATURES

WO BIG•FEATU RES
Bob STEELE
SIXGUN MAN
WIE

WO

BIG•FEATU

RES

Bob

STEELE

SIXGUN

MAN

WIE