Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 38-59 |
| Gender | Female, 51.2% |
| Confused | 45.5% |
| Calm | 48.8% |
| Angry | 48% |
| Sad | 46.1% |
| Surprised | 45.7% |
| Happy | 45.7% |
| Disgusted | 45.2% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 50.4% |
| Happy | 45.4% |
| Confused | 45.5% |
| Surprised | 45.7% |
| Calm | 50.9% |
| Sad | 46% |
| Disgusted | 45.8% |
| Angry | 45.7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 52% |
| Confused | 45% |
| Surprised | 45% |
| Calm | 49.6% |
| Disgusted | 45% |
| Angry | 45.1% |
| Happy | 45% |
| Sad | 50.2% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 54.7% |
| Surprised | 45% |
| Confused | 45% |
| Calm | 54.4% |
| Angry | 45.1% |
| Sad | 45.5% |
| Happy | 45% |
| Disgusted | 45% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 50.9% |
| Disgusted | 45.1% |
| Calm | 45.8% |
| Surprised | 45.1% |
| Angry | 45.3% |
| Happy | 45.1% |
| Sad | 53.4% |
| Confused | 45.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 54.2% |
| Disgusted | 45.1% |
| Happy | 49.6% |
| Angry | 46.3% |
| Surprised | 45.4% |
| Sad | 46.1% |
| Confused | 45.2% |
| Calm | 47.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 50.4% |
| Happy | 49.5% |
| Sad | 49.6% |
| Calm | 49.7% |
| Angry | 49.6% |
| Disgusted | 49.6% |
| Confused | 49.9% |
| Surprised | 49.6% |
AWS Rekognition
| Age | 11-18 |
| Gender | Male, 50.3% |
| Disgusted | 49.7% |
| Happy | 49.6% |
| Confused | 49.6% |
| Calm | 49.7% |
| Angry | 49.6% |
| Sad | 49.7% |
| Surprised | 49.6% |
Microsoft Cognitive Services
| Age | 71 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 68 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| events parties | 27.8% | |
| paintings art | 25.6% | |
| streetview architecture | 24.7% | |
| food drinks | 7% | |
| text visuals | 6.5% | |
| interior objects | 3.5% | |
| pets animals | 2.9% | |
| people portraits | 1.3% | |
Captions
Microsoft
created on 2019-07-02
| a close up of text on a white background | 42.6% | |
| a close up of text on a black background | 39% | |
| a close up of text on a white surface | 38.9% | |
Text analysis
Amazon
