Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 35-53 |
| Gender | Female, 69.3% |
| Happy | 0.4% |
| Sad | 95.9% |
| Calm | 0.7% |
| Confused | 0.8% |
| Disgusted | 0.3% |
| Angry | 1.2% |
| Surprised | 0.6% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 55.9% |
| Confused | 4.8% |
| Sad | 29.3% |
| Calm | 4.1% |
| Disgusted | 8.8% |
| Angry | 35.1% |
| Happy | 14.9% |
| Surprised | 3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 73.8% |
| Sad | 93.6% |
| Calm | 0.9% |
| Disgusted | 0.6% |
| Surprised | 1.5% |
| Angry | 1.2% |
| Happy | 1% |
| Confused | 1.1% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 94.4% |
| Sad | 51.1% |
| Disgusted | 4.2% |
| Angry | 13.1% |
| Calm | 9.8% |
| Surprised | 3.8% |
| Happy | 1.7% |
| Confused | 16.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.9% |
| Happy | 45.2% |
| Angry | 45.6% |
| Disgusted | 45.2% |
| Sad | 48.8% |
| Surprised | 45.4% |
| Calm | 49.4% |
| Confused | 45.4% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 58.3% |
| Angry | 4.1% |
| Happy | 2.8% |
| Calm | 81.6% |
| Sad | 6.1% |
| Confused | 0.8% |
| Surprised | 1.3% |
| Disgusted | 3.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 51.4% |
| Happy | 45.3% |
| Disgusted | 52.8% |
| Confused | 45.3% |
| Angry | 45.5% |
| Surprised | 45.2% |
| Sad | 45.6% |
| Calm | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 66.6% |
| Disgusted | 6.4% |
| Confused | 2.3% |
| Happy | 2% |
| Angry | 3.8% |
| Calm | 29.6% |
| Surprised | 2% |
| Sad | 53.9% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 80.2% |
| Confused | 1.3% |
| Calm | 12.9% |
| Happy | 2.5% |
| Disgusted | 1.2% |
| Angry | 2% |
| Sad | 78.9% |
| Surprised | 1.2% |
Microsoft Cognitive Services
| Age | 75 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 56 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 37 |
| Gender | Male |
Feature analysis
Categories
Imagga
| beaches seaside | 38.9% | |
| paintings art | 36.7% | |
| streetview architecture | 9% | |
| nature landscape | 4.3% | |
| interior objects | 4% | |
| food drinks | 2.6% | |
| pets animals | 1.6% | |
| sunrises sunsets | 0.7% | |
| events parties | 0.6% | |
| people portraits | 0.6% | |
| macro flowers | 0.5% | |
| cars vehicles | 0.2% | |
| text visuals | 0.2% | |
Captions
Microsoft
created on 2018-02-10
| a vintage photo of a man | 90.8% | |
| a vintage photo of a man holding a book | 63.7% | |
| a vintage photo of a man riding on the back of a boat | 41.9% | |