Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 96.7 | |
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Human | 96.7 | |
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Housing | 93 | |
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Building | 93 | |
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Train | 90.3 | |
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Vehicle | 90.3 | |
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Transportation | 90.3 | |
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Outdoors | 82.8 | |
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Nature | 81.5 | |
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Caravan | 75.7 | |
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Van | 75.7 | |
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Shelter | 74.5 | |
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Countryside | 74.5 | |
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Rural | 74.5 | |
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Grass | 68.6 | |
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Plant | 68.6 | |
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Mobile Home | 66.3 | |
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Urban | 64.3 | |
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People | 62.2 | |
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Shorts | 61.2 | |
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Clothing | 61.2 | |
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Apparel | 61.2 | |
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Bus | 60.9 | |
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Condo | 57 | |
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Chair | 56.9 | |
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Furniture | 56.9 | |
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Rv | 55.9 | |
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Ice | 55.4 | |
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Tree | 55.2 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
wheeled vehicle | 26.7 | |
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structure | 24.2 | |
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sky | 22.9 | |
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travel | 20.4 | |
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camper | 20.4 | |
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equipment | 20.3 | |
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vacation | 17.2 | |
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mobile home | 16.9 | |
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building | 16.4 | |
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sea | 16.4 | |
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ocean | 15.8 | |
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recreational vehicle | 15.5 | |
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trailer | 15.4 | |
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industry | 15.4 | |
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house | 15 | |
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vehicle | 15 | |
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deck | 14.6 | |
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housing | 14.5 | |
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water | 14 | |
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electronic equipment | 13.6 | |
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transportation | 13.4 | |
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device | 13.2 | |
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conveyance | 13.1 | |
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architecture | 12.7 | |
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technology | 12.6 | |
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amplifier | 12.4 | |
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chair | 12.2 | |
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transport | 11.9 | |
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beach | 11.8 | |
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industrial | 11.8 | |
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energy | 11.8 | |
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power | 11.7 | |
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self-propelled vehicle | 11.7 | |
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summer | 11.6 | |
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steel | 11.5 | |
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holiday | 11.5 | |
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clouds | 11 | |
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business | 10.9 | |
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cooling tower | 10.9 | |
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environment | 10.7 | |
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factory | 10.6 | |
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metal | 10.5 | |
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home | 10.4 | |
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construction | 10.3 | |
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container | 10.2 | |
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mechanism | 9.9 | |
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cooling system | 9.8 | |
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boat | 9.4 | |
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car | 9.3 | |
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air | 9.2 | |
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city | 9.1 | |
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old | 9.1 | |
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landscape | 8.9 | |
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cable | 8.7 | |
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tree | 8.5 | |
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relax | 8.4 | |
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wire | 8.2 | |
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tank | 8.2 | |
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chairlift | 8.2 | |
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work | 8.2 | |
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tourist | 8.2 | |
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coast | 8.1 | |
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grass | 7.9 | |
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empty | 7.7 | |
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gas | 7.7 | |
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engine | 7.7 | |
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hut | 7.6 | |
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shore | 7.4 | |
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window | 7.3 | |
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island | 7.3 | |
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sun | 7.2 | |
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road | 7.2 | |
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Google
created on 2022-01-15
Motor vehicle | 91.1 | |
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Vehicle | 90.4 | |
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Sky | 86.4 | |
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Rolling stock | 84.1 | |
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Black-and-white | 82.3 | |
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Locomotive | 82.1 | |
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Plant | 79.4 | |
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Cloud | 77.3 | |
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Railway | 75.5 | |
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Landscape | 73.9 | |
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Monochrome photography | 73.7 | |
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Rolling | 72.6 | |
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Monochrome | 70.1 | |
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Tree | 69.3 | |
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Railroad car | 68.3 | |
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Automotive wheel system | 67.6 | |
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Automotive lighting | 66.3 | |
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Stock photography | 62.2 | |
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Track | 62.1 | |
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History | 62 | |
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Microsoft
created on 2022-01-15
text | 99.7 | |
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train | 82.5 | |
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vehicle | 76.2 | |
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black and white | 72.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-36 |
Gender | Male, 97.1% |
Sad | 62.4% |
Confused | 9.6% |
Happy | 9.5% |
Calm | 7.1% |
Disgusted | 4.9% |
Fear | 4% |
Surprised | 1.7% |
Angry | 0.8% |
Feature analysis
Text analysis
Amazon
31118
WIL
WIL SON
JOHN
SON
BOSTON
LIZZIE
JOHN 2 LIZZIE
EES
2
VACOR
WILSON
BOSTON MASE
81118
WILSON
BOSTON
MASE
81118