Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 54-62 |
| Gender | Male, 90.5% |
| Happy | 80.3% |
| Calm | 12.1% |
| Surprised | 3.7% |
| Sad | 1.5% |
| Confused | 1% |
| Disgusted | 0.7% |
| Angry | 0.4% |
| Fear | 0.3% |
AWS Rekognition
| Age | 51-59 |
| Gender | Male, 99.1% |
| Calm | 97% |
| Sad | 1.5% |
| Happy | 0.6% |
| Surprised | 0.5% |
| Confused | 0.3% |
| Disgusted | 0.1% |
| Angry | 0.1% |
| Fear | 0% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 67.9% |
| Calm | 97.9% |
| Sad | 0.9% |
| Angry | 0.3% |
| Surprised | 0.2% |
| Confused | 0.2% |
| Happy | 0.2% |
| Disgusted | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 51-59 |
| Gender | Female, 99.4% |
| Calm | 82.8% |
| Happy | 7.7% |
| Surprised | 5.7% |
| Angry | 1.2% |
| Sad | 1.2% |
| Confused | 0.5% |
| Disgusted | 0.4% |
| Fear | 0.4% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 89.5% |
| Calm | 90.4% |
| Sad | 4.1% |
| Confused | 2.2% |
| Disgusted | 1.4% |
| Angry | 0.7% |
| Surprised | 0.6% |
| Fear | 0.3% |
| Happy | 0.2% |
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 87.6% |
| Calm | 57.7% |
| Happy | 39.5% |
| Sad | 1.6% |
| Disgusted | 0.3% |
| Fear | 0.3% |
| Confused | 0.3% |
| Angry | 0.3% |
| Surprised | 0.2% |
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 |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | 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 |
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
| people portraits | 38.6% | |
| interior objects | 35% | |
| paintings art | 12.3% | |
| events parties | 6% | |
| text visuals | 3.5% | |
| food drinks | 2% | |
| streetview architecture | 1.6% | |
Captions
Microsoft
created on 2022-01-22
| a group of people standing in front of a mirror posing for the camera | 80.7% | |
| a group of people standing in front of a mirror | 80.6% | |
| a group of people in front of a mirror posing for the camera | 79.6% | |
Text analysis
Amazon
