Machine Generated Data
Tags
Amazon
created on 2022-03-05
Clarifai
created on 2023-10-29
Imagga
created on 2022-03-05
Google
created on 2022-03-05
Sky | 97.1 | |
| ||
Flash photography | 88.6 | |
| ||
Cloud | 88.4 | |
| ||
Happy | 84.7 | |
| ||
T-shirt | 81.9 | |
| ||
Tree | 81.6 | |
| ||
Rolling | 78.9 | |
| ||
Knee | 78.2 | |
| ||
Entertainment | 77 | |
| ||
Performing arts | 76.8 | |
| ||
Balance | 74.8 | |
| ||
Event | 70.5 | |
| ||
Human leg | 70.4 | |
| ||
Sportswear | 69.6 | |
| ||
Sports | 69.5 | |
| ||
Recreation | 68.9 | |
| ||
Elbow | 68.4 | |
| ||
Leisure | 68.4 | |
| ||
Thigh | 68.4 | |
| ||
Waist | 64.7 | |
|
Microsoft
created on 2022-03-05
man | 96.4 | |
| ||
dance | 94.4 | |
| ||
footwear | 93.6 | |
| ||
text | 92.6 | |
| ||
skateboard | 91.6 | |
| ||
outdoor | 89.3 | |
| ||
person | 87.2 | |
| ||
physical fitness | 76.3 | |
| ||
jumping | 75.1 | |
| ||
clothing | 74.6 | |
| ||
electronics | 72.3 | |
| ||
individual sports | 68.7 | |
| ||
skateboarder | 68 | |
| ||
jump | 67.4 | |
| ||
skateboarding | 57.2 | |
| ||
knee | 57 | |
| ||
display | 56 | |
| ||
skateboarding equipment | 54.3 | |
| ||
street stunts | 52.5 | |
| ||
male | 21.6 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 18-26 |
Gender | Female, 52.6% |
Calm | 33.2% |
Confused | 32.3% |
Sad | 12.6% |
Angry | 5.5% |
Happy | 4.7% |
Fear | 4% |
Disgusted | 3.9% |
Surprised | 3.8% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 69.4% |
Fear | 34.5% |
Sad | 27.4% |
Calm | 11.1% |
Disgusted | 8.8% |
Angry | 8.4% |
Surprised | 5.4% |
Confused | 2.4% |
Happy | 2.1% |

Microsoft Cognitive Services
Age | 13 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 99.8% | |
|
Captions
Microsoft
created on 2022-03-05
a man jumping in the air | 85.7% | |
| ||
a screen shot of a man jumping in the air | 79.6% | |
| ||
a man doing a trick on a skateboard | 45.6% | |
|
Text analysis
Amazon

12

FRONT

#D

#D FRONT P-3 across

P-3

EIRN

OHLETA EIRN

OHLETA

across