Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 87% |
| Sad | 31.3% |
| Surprised | 1.8% |
| Calm | 57.9% |
| Happy | 1.7% |
| Confused | 3.3% |
| Angry | 3.3% |
| Disgusted | 0.8% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 79.4% |
| Happy | 1.9% |
| Sad | 69.5% |
| Confused | 2.3% |
| Surprised | 1% |
| Calm | 22.7% |
| Angry | 2% |
| Disgusted | 0.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 81.8% |
| Angry | 0.2% |
| Happy | 0.3% |
| Disgusted | 0.3% |
| Confused | 0.1% |
| Sad | 95.6% |
| Calm | 3.3% |
| Surprised | 0.2% |
AWS Rekognition
| Age | 15-25 |
| Gender | Female, 55.9% |
| Calm | 33.6% |
| Surprised | 2.4% |
| Disgusted | 17.9% |
| Angry | 5.1% |
| Sad | 35.8% |
| Confused | 2.4% |
| Happy | 2.7% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 94.9% |
| Happy | 0.4% |
| Angry | 3.5% |
| Calm | 3.7% |
| Confused | 2.3% |
| Disgusted | 87.1% |
| Sad | 2.3% |
| Surprised | 0.6% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 89.6% |
| Confused | 2.5% |
| Happy | 3.2% |
| Sad | 2% |
| Surprised | 2.5% |
| Disgusted | 84.3% |
| Angry | 2.9% |
| Calm | 2.5% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 51.7% |
| Happy | 45.1% |
| Calm | 46.5% |
| Angry | 45.5% |
| Disgusted | 52.2% |
| Surprised | 45.2% |
| Sad | 45.2% |
| Confused | 45.1% |
AWS Rekognition
| Age | 14-25 |
| Gender | Male, 54.6% |
| Surprised | 45.1% |
| Happy | 45.1% |
| Disgusted | 54.2% |
| Confused | 45.1% |
| Sad | 45% |
| Angry | 45.2% |
| Calm | 45.3% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 54.5% |
| Calm | 51.1% |
| Happy | 45.2% |
| Surprised | 45.7% |
| Confused | 45.4% |
| Disgusted | 46.2% |
| Sad | 45.9% |
| Angry | 45.6% |
AWS Rekognition
| Age | 16-27 |
| Gender | Male, 51.5% |
| Disgusted | 52.7% |
| Angry | 45.2% |
| Calm | 46.3% |
| Happy | 45.2% |
| Sad | 45.4% |
| Confused | 45.1% |
| Surprised | 45.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 51.5% |
| Disgusted | 45.1% |
| Angry | 45.2% |
| Happy | 45% |
| Calm | 45.1% |
| Sad | 54.4% |
| Confused | 45.2% |
| Surprised | 45% |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Male |
Feature analysis
Categories
Imagga
| paintings art | 42.9% | |
| interior objects | 35.3% | |
| pets animals | 10.3% | |
| cars vehicles | 5.2% | |
| food drinks | 1.5% | |
| nature landscape | 1% | |
| people portraits | 1% | |
| streetview architecture | 0.7% | |
| macro flowers | 0.6% | |
| events parties | 0.6% | |
| text visuals | 0.4% | |
| sunrises sunsets | 0.3% | |
| beaches seaside | 0.2% | |
Captions
Microsoft
created on 2018-02-19
| a vintage photo of a person | 76.8% | |
| a vintage photo of a person holding a book | 40.4% | |
| a vintage photo of a book | 40.3% | |
Text analysis
Amazon
