Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2023-10-15
negative | 100 | |
| ||
movie | 99.5 | |
| ||
filmstrip | 99.4 | |
| ||
exposed | 99.4 | |
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slide | 97.6 | |
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people | 97.5 | |
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cinematography | 96.3 | |
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sliding | 96.2 | |
| ||
screen | 95.4 | |
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woman | 95.3 | |
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collage | 95.2 | |
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illustration | 94.6 | |
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adult | 94.1 | |
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bobbin | 94 | |
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monochrome | 94 | |
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technology | 93.9 | |
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photograph | 93.7 | |
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video | 93.6 | |
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industry | 93.5 | |
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old | 92.1 | |
|
Imagga
created on 2019-02-03
wreckage | 50.5 | |
| ||
negative | 47.5 | |
| ||
film | 42 | |
| ||
part | 41.4 | |
| ||
photographic paper | 29.5 | |
| ||
photographic equipment | 19.7 | |
| ||
technology | 13.3 | |
| ||
black | 13.2 | |
| ||
science | 12.4 | |
| ||
art | 12.3 | |
| ||
digital | 11.3 | |
| ||
newspaper | 11.2 | |
| ||
old | 11.1 | |
| ||
city | 10.8 | |
| ||
sky | 10.2 | |
| ||
light | 10 | |
| ||
care | 9.9 | |
| ||
architecture | 9.4 | |
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water | 9.3 | |
| ||
dark | 9.2 | |
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creation | 9 | |
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product | 9 | |
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sea | 8.9 | |
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symbol | 8.7 | |
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building | 8.7 | |
| ||
person | 8.6 | |
| ||
people | 8.4 | |
| ||
hand | 8.3 | |
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vintage | 8.3 | |
| ||
landscape | 8.2 | |
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sunset | 8.1 | |
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medical | 7.9 | |
| ||
business | 7.9 | |
| ||
bright | 7.9 | |
| ||
equipment | 7.8 | |
| ||
screen | 7.8 | |
| ||
travel | 7.7 | |
| ||
modern | 7.7 | |
| ||
industry | 7.7 | |
| ||
house | 7.5 | |
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design | 7.3 | |
| ||
history | 7.1 | |
| ||
night | 7.1 | |
|
Google
created on 2019-02-03
Photograph | 96.1 | |
| ||
Snapshot | 84.7 | |
| ||
Photography | 77.5 | |
| ||
Black-and-white | 74.4 | |
| ||
Monochrome photography | 69.6 | |
| ||
Stock photography | 67.6 | |
| ||
Room | 65.7 | |
| ||
Radiology | 54.1 | |
|
Microsoft
created on 2019-02-03
open | 61.8 | |
| ||
black and white | 61.8 | |
| ||
bridge | 54.4 | |
| ||
fence | 41.9 | |
| ||
monochrome | 34.4 | |
| ||
art | 24.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Female, 55.7% |
Calm | 86.9% |
Happy | 10.5% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.3% |
Confused | 0.6% |
Disgusted | 0.6% |
Angry | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 77.4% |
Sad | 44.6% |
Calm | 35.1% |
Happy | 25% |
Angry | 7.9% |
Surprised | 6.7% |
Fear | 6.7% |
Disgusted | 3.2% |
Confused | 0.8% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 71.1% |
Calm | 72.3% |
Happy | 15.2% |
Surprised | 7.2% |
Fear | 6.8% |
Angry | 3.7% |
Sad | 2.8% |
Confused | 1.7% |
Disgusted | 1.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 83% |
Calm | 52.6% |
Happy | 16.9% |
Sad | 11.3% |
Surprised | 8.3% |
Fear | 6.7% |
Disgusted | 5.6% |
Angry | 5.5% |
Confused | 1.6% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 76.1% |
Calm | 70.8% |
Angry | 11.1% |
Surprised | 6.7% |
Sad | 6.7% |
Fear | 6.1% |
Disgusted | 4.1% |
Happy | 2.9% |
Confused | 1.3% |

AWS Rekognition
Age | 16-22 |
Gender | Female, 81.3% |
Calm | 72.1% |
Surprised | 14.7% |
Fear | 6.7% |
Happy | 5.9% |
Angry | 3.5% |
Sad | 3.1% |
Confused | 1.5% |
Disgusted | 1.2% |
Feature analysis
Categories
Imagga
interior objects | 99.4% | |
|
Captions
Microsoft
created on 2019-02-03
a close up of a store | 46.1% | |
|
Text analysis
Amazon

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