Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Photograph | 94.2 | |
| ||
Textile | 87.7 | |
| ||
Art | 87 | |
| ||
Painting | 82.6 | |
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Adaptation | 79.3 | |
| ||
People | 77.9 | |
| ||
Illustration | 75.8 | |
| ||
Vintage clothing | 75.1 | |
| ||
Snapshot | 74.3 | |
| ||
Drawing | 72.6 | |
| ||
Recreation | 72.5 | |
| ||
Room | 72.1 | |
| ||
Visual arts | 71.6 | |
| ||
Paint | 70.1 | |
| ||
Event | 70.1 | |
| ||
Watercolor paint | 69.6 | |
| ||
Child | 69.5 | |
| ||
Magenta | 67.3 | |
| ||
Stock photography | 66.8 | |
| ||
House | 65.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.9% |
Calm | 32.5% |
Sad | 23.1% |
Angry | 12.8% |
Surprised | 12.4% |
Confused | 8.8% |
Fear | 5% |
Disgusted | 4.8% |
Happy | 0.7% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 100% |
Calm | 43% |
Surprised | 24.7% |
Angry | 17.3% |
Confused | 7.7% |
Fear | 5% |
Disgusted | 1% |
Sad | 0.9% |
Happy | 0.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 83.2% |
Calm | 90% |
Fear | 2.4% |
Happy | 2.3% |
Disgusted | 1.4% |
Angry | 1.4% |
Confused | 1.1% |
Surprised | 0.8% |
Sad | 0.7% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 95.4% | |
| ||
people portraits | 2.2% | |
| ||
interior objects | 2.1% | |
|
Captions
Microsoft
created on 2022-01-22
a group of teddy bears standing next to a person | 43.8% | |
| ||
a group of teddy bears sitting next to a person | 37.4% | |
| ||
a group of teddy bears on display in a store | 37.3% | |
|
Text analysis
Amazon

little

(Happy

what two.

"Jes. Sir I wo little beauties

I wo

"Jes.

(Happy fathes!) "What! two

Sir

beauties

two

fathes!)

"What!

whal livo,
(3teppy Fathes!)nhati two"
"Tes, i, Invo liitle beauties.

whal

livo,

(3teppy

Fathes!)nhati

two"

"Tes,

i,

Invo

liitle

beauties.