Machine Generated Data
Tags
Amazon
created on 2022-01-29
Face | 99.3 | |
| ||
Human | 99.3 | |
| ||
Person | 95.8 | |
| ||
Person | 90.5 | |
| ||
Boy | 85.4 | |
| ||
Baby | 82.8 | |
| ||
Kid | 81.7 | |
| ||
Child | 81.7 | |
| ||
Portrait | 78.4 | |
| ||
Photography | 78.4 | |
| ||
Photo | 78.4 | |
| ||
Text | 77 | |
| ||
Smile | 74 | |
| ||
Nature | 69 | |
| ||
People | 67.9 | |
| ||
Outdoors | 67.9 | |
| ||
Clothing | 64.4 | |
| ||
Apparel | 64.4 | |
| ||
Female | 61.8 | |
| ||
Drawing | 60.3 | |
| ||
Art | 60.3 | |
| ||
Indoors | 59.4 | |
| ||
Girl | 58.2 | |
| ||
Shorts | 57 | |
| ||
Furniture | 56 | |
| ||
Head | 55.2 | |
| ||
Floor | 55.1 | |
|
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-29
Google
created on 2022-01-29
Smile | 95.5 | |
| ||
Gesture | 85.3 | |
| ||
Happy | 79.1 | |
| ||
Art | 76.5 | |
| ||
Monochrome photography | 73.1 | |
| ||
Monochrome | 72.3 | |
| ||
Vintage clothing | 71.6 | |
| ||
Room | 66.2 | |
| ||
Stock photography | 64 | |
| ||
Photographic paper | 60.1 | |
| ||
Portrait | 60.1 | |
| ||
Portrait photography | 54.3 | |
| ||
History | 53.9 | |
| ||
Photo caption | 52.8 | |
| ||
Font | 52.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 0-4 |
Gender | Male, 77.1% |
Calm | 98.9% |
Surprised | 0.4% |
Happy | 0.2% |
Sad | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 89.7% |
Happy | 58.5% |
Surprised | 29.1% |
Calm | 4.9% |
Fear | 2.5% |
Disgusted | 2% |
Sad | 1.4% |
Confused | 0.9% |
Angry | 0.7% |
Feature analysis
Categories
Imagga
paintings art | 99.3% | |
|
Captions
Microsoft
created on 2022-01-29
a vintage photo of a woman | 95.7% | |
| ||
a woman posing for a photo | 95.6% | |
| ||
a vintage photo of a girl | 91% | |
|
Text analysis
Amazon

TTQ

TIQ
NAGON-YT3RA2 -MAMTAA

TIQ

NAGON-YT3RA2

-MAMTAA