Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 97.2% |
| Sad | 1% |
| Happy | 0.3% |
| Angry | 0.3% |
| Calm | 97.8% |
| Surprised | 0.2% |
| Confused | 0.3% |
| Disgusted | 0.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 97.6% |
| Disgusted | 7.2% |
| Angry | 5.6% |
| Calm | 32.7% |
| Happy | 2.8% |
| Sad | 47% |
| Surprised | 1.3% |
| Confused | 3.3% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 95.6% |
| Disgusted | 5.1% |
| Happy | 0.6% |
| Calm | 20.8% |
| Sad | 67.8% |
| Angry | 2.4% |
| Surprised | 1% |
| Confused | 2.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 95.9% |
| Calm | 84.5% |
| Sad | 5.6% |
| Happy | 2.9% |
| Surprised | 1.1% |
| Angry | 2.1% |
| Disgusted | 0.6% |
| Confused | 3.3% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 92.7% |
| Happy | 1% |
| Sad | 68.1% |
| Calm | 26.8% |
| Confused | 1.2% |
| Disgusted | 0.8% |
| Angry | 1.1% |
| Surprised | 1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 54.1% |
| Calm | 46.6% |
| Sad | 52.1% |
| Happy | 45.1% |
| Angry | 45.6% |
| Surprised | 45.1% |
| Disgusted | 45.2% |
| Confused | 45.2% |
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 93.8% |
| Happy | 0.4% |
| Calm | 50.5% |
| Confused | 1% |
| Sad | 45.8% |
| Angry | 1.2% |
| Surprised | 0.8% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.3% |
| Happy | 45.1% |
| Calm | 51.9% |
| Confused | 45.3% |
| Sad | 46.4% |
| Surprised | 45.3% |
| Angry | 45.5% |
| Disgusted | 45.4% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 51.5% |
| Disgusted | 45.2% |
| Surprised | 45.2% |
| Angry | 45.2% |
| Calm | 45.3% |
| Happy | 45.2% |
| Sad | 53.6% |
| Confused | 45.3% |
Microsoft Cognitive Services
| Age | 36 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 24 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 43 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 46 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 44 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 37 |
| Gender | Male |
Google Vision
| Surprise | Unlikely |
| Anger | Very unlikely |
| Sorrow | 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
Amazon
| Person | 99.5% | |
Categories
Imagga
| people portraits | 65% | |
| pets animals | 7.7% | |
| events parties | 7.6% | |
| streetview architecture | 6.2% | |
| paintings art | 3.7% | |
| food drinks | 2.6% | |
| beaches seaside | 2.3% | |
| nature landscape | 2.2% | |
| text visuals | 1.4% | |
| interior objects | 1.2% | |
| cars vehicles | 0.1% | |
| macro flowers | 0.1% | |
Captions
Microsoft
created on 2018-02-09
| a group of people sitting at a table | 97% | |
| a group of people sitting around a table | 96.9% | |
| a group of people sitting on a table | 94.8% | |
Text analysis
Amazon
