Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 12-20 |
| Gender | Female, 100% |
| Surprised | 88.2% |
| Calm | 34.4% |
| Fear | 6% |
| Angry | 4.2% |
| Sad | 2.8% |
| Confused | 2.6% |
| Happy | 1.3% |
| Disgusted | 0.6% |
AWS Rekognition
| Age | 24-34 |
| Gender | Female, 97% |
| Calm | 84.5% |
| Surprised | 7.8% |
| Angry | 7.1% |
| Fear | 6% |
| Sad | 2.8% |
| Confused | 1.3% |
| Happy | 1.2% |
| Disgusted | 0.9% |
AWS Rekognition
| Age | 10-18 |
| Gender | Female, 89.6% |
| Happy | 94.1% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Calm | 5.2% |
| Sad | 2.2% |
| Confused | 0.1% |
| Disgusted | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 90.7% |
| Calm | 68.4% |
| Confused | 29% |
| Surprised | 6.4% |
| Fear | 5.9% |
| Sad | 2.6% |
| Disgusted | 0.4% |
| Angry | 0.2% |
| Happy | 0.1% |
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 99.8% |
| Calm | 72.1% |
| Sad | 25.4% |
| Surprised | 6.7% |
| Fear | 6% |
| Angry | 4.2% |
| Happy | 1.5% |
| Disgusted | 1% |
| Confused | 0.6% |
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 91.9% |
| Sad | 79.3% |
| Calm | 56.6% |
| Surprised | 6.6% |
| Fear | 6.3% |
| Confused | 2.8% |
| Angry | 1% |
| Disgusted | 0.9% |
| Happy | 0.7% |
AWS Rekognition
| Age | 27-37 |
| Gender | Female, 92.2% |
| Sad | 92.8% |
| Calm | 50.3% |
| Surprised | 6.8% |
| Fear | 6% |
| Confused | 1.3% |
| Happy | 1.1% |
| Angry | 0.7% |
| Disgusted | 0.6% |
AWS Rekognition
| Age | 13-21 |
| Gender | Female, 100% |
| Calm | 54.6% |
| Fear | 27% |
| Happy | 8.5% |
| Surprised | 7.7% |
| Sad | 3.1% |
| Angry | 1.9% |
| Confused | 1.6% |
| Disgusted | 1.6% |
Microsoft Cognitive Services
| Age | 43 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 59 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 9 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 30 |
| 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 | Likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Possible |
| 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
| people portraits | 90.5% | |
| events parties | 3.9% | |
| pets animals | 1.6% | |
| food drinks | 1% | |
Captions
Microsoft
created on 2018-05-10
| a group of people sitting at a table | 94.9% | |
| a group of people sitting around a table | 94.8% | |
| a group of people sitting in a room | 94.7% | |
Text analysis
Amazon
