Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 54.6% |
| Surprised | 45% |
| Angry | 45% |
| Calm | 45% |
| Confused | 45% |
| Disgusted | 45.1% |
| Happy | 45% |
| Sad | 54.8% |
AWS Rekognition
| Age | 4-7 |
| Gender | Female, 54.2% |
| Happy | 45.2% |
| Disgusted | 45.2% |
| Surprised | 45.1% |
| Sad | 51.9% |
| Confused | 45.1% |
| Angry | 45.4% |
| Calm | 47% |
AWS Rekognition
| Age | 6-13 |
| Gender | Female, 50.6% |
| Angry | 45.1% |
| Calm | 45% |
| Confused | 45% |
| Disgusted | 45% |
| Happy | 45% |
| Sad | 54.9% |
| Surprised | 45% |
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 50.4% |
| Calm | 52.6% |
| Happy | 45.1% |
| Sad | 46.6% |
| Surprised | 45.1% |
| Disgusted | 45.1% |
| Angry | 45.3% |
| Confused | 45.2% |
AWS Rekognition
| Age | 9-14 |
| Gender | Female, 54.5% |
| Disgusted | 45% |
| Confused | 45% |
| Surprised | 45% |
| Calm | 45.1% |
| Happy | 45% |
| Angry | 45% |
| Sad | 54.9% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 51.1% |
| Sad | 50.8% |
| Disgusted | 45.2% |
| Confused | 45.6% |
| Calm | 46.3% |
| Happy | 45.4% |
| Surprised | 45.5% |
| Angry | 46.2% |
Microsoft Cognitive Services
| Age | 17 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 21 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 25 |
| Gender | Female |
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 | 96.2% | |
| interior objects | 2.6% | |
Captions
Microsoft
created on 2019-06-04
| a vintage photo of a man | 79% | |
| an old photo of a man | 78.9% | |
| a vintage photo of some people | 73.8% | |
Text analysis
Amazon
