Machine Generated Data
Tags
Amazon
created on 2019-10-29
Clarifai
created on 2019-10-29
Imagga
created on 2019-10-29
Google
created on 2019-10-29
Photograph | 97.8 | |
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Snapshot | 90.5 | |
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Black-and-white | 87.9 | |
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Photographic paper | 87.4 | |
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Photography | 81.9 | |
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Stock photography | 78 | |
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Monochrome photography | 69.6 | |
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Room | 65.7 | |
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Monochrome | 60.1 | |
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Family | 52.5 | |
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Style | 52.5 | |
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Instant camera | 52 | |
|
Microsoft
created on 2019-10-29
clothing | 90.6 | |
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text | 84.9 | |
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black and white | 70.7 | |
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black | 68.4 | |
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person | 67.9 | |
| ||
dress | 64.2 | |
| ||
woman | 61 | |
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white | 60.5 | |
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wedding dress | 57.8 | |
| ||
man | 55.7 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-35 |
Gender | Male, 53.6% |
Angry | 45.5% |
Sad | 45.2% |
Disgusted | 45.1% |
Fear | 45.1% |
Calm | 52.2% |
Happy | 45.2% |
Confused | 45.2% |
Surprised | 46.4% |
AWS Rekognition
Age | 22-34 |
Gender | Female, 52.1% |
Angry | 48.5% |
Surprised | 45% |
Fear | 45.2% |
Calm | 46% |
Happy | 45.1% |
Disgusted | 45.1% |
Sad | 50.1% |
Confused | 45.1% |
Feature analysis
Amazon
Person | 96.1% | |
|
Text analysis
Amazon
al
XAGOX
-YT33A02 XAGOX
-YT33A02
MJIR-YTRA
MJIR-YTRA