Machine Generated Data
Tags
Amazon
created on 2019-08-09
Human | 97.8 | |
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Person | 97.8 | |
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Vehicle | 91.3 | |
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Airplane | 91.3 | |
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Aircraft | 91.3 | |
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Transportation | 91.3 | |
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Machine | 85 | |
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Wheel | 85 | |
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Automobile | 79.3 | |
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Car | 79.3 | |
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Sports Car | 79.3 | |
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Spoke | 66.5 | |
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Building | 65.7 | |
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Text | 64.2 | |
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People | 62.9 | |
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Alloy Wheel | 61.2 | |
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Tire | 57.3 | |
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Race Car | 55.6 | |
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Smoke | 55.1 | |
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Clarifai
created on 2019-08-09
vehicle | 99.2 | |
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transportation system | 98.8 | |
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people | 98.2 | |
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monochrome | 97.7 | |
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car | 95.6 | |
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business | 92.6 | |
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speed | 91.4 | |
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black and white | 91 | |
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adult | 90.6 | |
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man | 90.3 | |
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industry | 87 | |
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engine | 85.1 | |
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desktop | 84.7 | |
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traffic | 84.1 | |
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aircraft | 83.9 | |
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one | 83.8 | |
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technology | 83.7 | |
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street | 81.7 | |
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airplane | 79.9 | |
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machine | 78.8 | |
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Imagga
created on 2019-08-09
vehicle | 29.6 | |
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car | 27.5 | |
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transport | 23.7 | |
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device | 23.5 | |
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motor vehicle | 23.4 | |
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speed | 22.9 | |
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machine | 22.2 | |
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transportation | 21.5 | |
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motion | 18 | |
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road | 17.2 | |
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city | 16.6 | |
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street | 16.6 | |
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urban | 15.7 | |
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travel | 15.5 | |
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truck | 15.1 | |
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wheeled vehicle | 14.2 | |
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blur | 13.9 | |
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traffic | 13.3 | |
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mechanism | 13.2 | |
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business | 12.8 | |
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light | 12.7 | |
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propeller | 12.4 | |
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drive | 12.3 | |
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wheel | 12.1 | |
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sky | 12.1 | |
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night | 10.7 | |
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engine | 10.6 | |
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airplane propeller | 10.5 | |
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technology | 10.4 | |
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service | 10.2 | |
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reflection | 9.8 | |
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rush | 9.8 | |
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motor | 9.8 | |
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metal | 9.7 | |
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scene | 9.5 | |
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walking | 9.5 | |
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jet | 9.5 | |
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fast | 9.3 | |
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water | 9.3 | |
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power | 9.2 | |
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outdoor | 9.2 | |
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danger | 9.1 | |
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old | 9.1 | |
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river | 8.9 | |
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work | 8.6 | |
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day | 8.6 | |
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automobile | 8.6 | |
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industry | 8.5 | |
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male | 8.5 | |
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action | 8.3 | |
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air | 8.3 | |
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retro | 8.2 | |
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station | 7.9 | |
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airport | 7.8 | |
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people | 7.8 | |
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army | 7.8 | |
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plane | 7.7 | |
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military | 7.7 | |
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amphibian | 7.7 | |
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war | 7.7 | |
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wing | 7.7 | |
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blurred | 7.7 | |
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auto | 7.7 | |
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snowplow | 7.6 | |
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movement | 7.5 | |
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evening | 7.5 | |
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fly | 7.5 | |
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landscape | 7.4 | |
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window | 7.3 | |
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industrial | 7.3 | |
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black | 7.2 | |
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rotor | 7.1 | |
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building | 7.1 | |
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person | 7.1 | |
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sea | 7 | |
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architecture | 7 | |
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Google
created on 2019-08-09
White | 95.9 | |
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Photograph | 95.9 | |
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Snapshot | 86.7 | |
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Black-and-white | 80.7 | |
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Photography | 73.8 | |
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Stock photography | 67.6 | |
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Room | 65.7 | |
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Architecture | 65.5 | |
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Vehicle | 56.3 | |
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Monochrome | 54.4 | |
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Photographic paper | 54.3 | |
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Microsoft
created on 2019-08-09
text | 97.5 | |
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black and white | 84.6 | |
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image | 30.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 13-25 |
Gender | Male, 51.7% |
Confused | 45.1% |
Angry | 45.3% |
Disgusted | 45% |
Fear | 45% |
Calm | 45.9% |
Surprised | 45% |
Happy | 45.3% |
Sad | 53.4% |
Feature analysis
Text analysis
Amazon
TEIRA
TEIRA C$-92-C
E2L
121
C$-92-C
CS-92-C
21
E2L
CS-92-C
21
E2L