Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 89.4% |
| Surprised | 4.6% |
| Sad | 56.7% |
| Disgusted | 5.5% |
| Calm | 11.8% |
| Happy | 4.5% |
| Angry | 13.5% |
| Confused | 3.6% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 58.6% |
| Sad | 6% |
| Calm | 51.9% |
| Surprised | 13.4% |
| Confused | 6.9% |
| Disgusted | 5.3% |
| Happy | 7.8% |
| Angry | 8.7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 81.7% |
| Calm | 67.6% |
| Disgusted | 1.6% |
| Angry | 7.9% |
| Happy | 0.6% |
| Sad | 17.9% |
| Surprised | 1.7% |
| Confused | 2.8% |
AWS Rekognition
| Age | 27-44 |
| Gender | Male, 98.9% |
| Angry | 5.8% |
| Happy | 2.5% |
| Disgusted | 1.1% |
| Confused | 8.4% |
| Calm | 9.7% |
| Surprised | 3.1% |
| Sad | 69.4% |
AWS Rekognition
| Age | 57-77 |
| Gender | Female, 90.7% |
| Angry | 5.1% |
| Sad | 65.9% |
| Disgusted | 2.9% |
| Calm | 3.1% |
| Surprised | 3.3% |
| Confused | 3.2% |
| Happy | 16.4% |
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 69.3% |
| Confused | 5.4% |
| Disgusted | 3.1% |
| Calm | 19.6% |
| Sad | 51.7% |
| Angry | 12.7% |
| Happy | 3.4% |
| Surprised | 4.1% |
AWS Rekognition
| Age | 16-27 |
| Gender | Male, 51.8% |
| Angry | 49.3% |
| Disgusted | 46.4% |
| Confused | 45.2% |
| Calm | 45.5% |
| Happy | 45.5% |
| Surprised | 45.2% |
| Sad | 47.8% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 54.3% |
| Disgusted | 45.1% |
| Calm | 50.3% |
| Confused | 45.3% |
| Happy | 45.3% |
| Surprised | 45.4% |
| Angry | 45.5% |
| Sad | 48.1% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 89.8% |
| Calm | 7.8% |
| Confused | 2% |
| Happy | 5.6% |
| Surprised | 1.6% |
| Angry | 3.3% |
| Disgusted | 68.4% |
| Sad | 11.3% |
Microsoft Cognitive Services
| Age | 28 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 50 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 57 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 24 |
| Gender | Male |
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 |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| 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 |
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
| pets animals | 69.4% | |
| interior objects | 21.4% | |
| people portraits | 3.7% | |
| food drinks | 3.6% | |
| events parties | 1.2% | |
Captions
Microsoft
created on 2019-06-06
| a group of people posing for a photo | 88.1% | |
| a group of people posing for the camera | 88% | |
| a group of people sitting posing for the camera | 86% | |
Text analysis
Amazon
