Machine Generated Data
Tags
Amazon
created on 2022-03-12
Clarifai
created on 2025-01-10
people | 99.9 | |
| ||
adult | 98.5 | |
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man | 97.3 | |
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monochrome | 96.5 | |
| ||
one | 96.3 | |
| ||
vehicle | 96.2 | |
| ||
group together | 94.6 | |
| ||
two | 94.4 | |
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child | 93 | |
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street | 92.7 | |
| ||
group | 92.6 | |
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woman | 91.7 | |
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home | 89 | |
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transportation system | 85.4 | |
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beach | 83.3 | |
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construction worker | 82.4 | |
| ||
danger | 81.9 | |
| ||
ladder | 81.2 | |
| ||
water | 78.7 | |
| ||
wear | 78.5 | |
|
Imagga
created on 2022-03-12
Google
created on 2022-03-12
Tire | 96.1 | |
| ||
Sky | 95.3 | |
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Wheel | 93.5 | |
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Building | 88.2 | |
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Vehicle | 86.7 | |
| ||
Automotive tire | 85.3 | |
| ||
Crane | 75.6 | |
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Fender | 75.6 | |
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Motor vehicle | 74.7 | |
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Rectangle | 74.3 | |
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Monochrome photography | 74.2 | |
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Monochrome | 73.2 | |
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Construction equipment | 66.6 | |
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Machine | 65.3 | |
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Stock photography | 63.7 | |
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Picture frame | 63.2 | |
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Room | 61.5 | |
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House | 60 | |
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Asphalt | 57.7 | |
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Construction | 56.8 | |
|
Microsoft
created on 2022-03-12
sky | 99 | |
| ||
vehicle | 94.1 | |
| ||
outdoor | 92.2 | |
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land vehicle | 91.9 | |
| ||
text | 85.9 | |
| ||
wheel | 85.5 | |
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truck | 74.6 | |
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black and white | 71.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 24-34 |
Gender | Male, 94% |
Sad | 31.4% |
Disgusted | 30.8% |
Confused | 16.3% |
Calm | 9.7% |
Angry | 7.3% |
Surprised | 2.1% |
Happy | 1.5% |
Fear | 0.9% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 99.4% |
Sad | 68.2% |
Calm | 26.7% |
Confused | 1.3% |
Happy | 1% |
Disgusted | 0.9% |
Surprised | 0.8% |
Angry | 0.6% |
Fear | 0.4% |
Feature analysis
Categories
Imagga
cars vehicles | 98.6% | |
| ||
streetview architecture | 1.3% | |
|
Captions
Microsoft
created on 2022-03-12
an old photo of a truck | 83.8% | |
| ||
old photo of a truck | 78.1% | |
| ||
a close up of a truck | 78% | |
|
Text analysis
Amazon

19772

19772.

8a

19722.

MAGON-YT33A2 -NAMTZA
19772.
1 112•

MAGON-YT33A2

-NAMTZA

19772.

1

112•