Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 27-37 |
| Gender | Female, 96.8% |
| Calm | 81.1% |
| Surprised | 6.5% |
| Sad | 5.9% |
| Confused | 2.7% |
| Angry | 1.5% |
| Happy | 0.8% |
| Fear | 0.8% |
| Disgusted | 0.6% |
AWS Rekognition
| Age | 47-53 |
| Gender | Male, 95.8% |
| Calm | 75.9% |
| Angry | 8.2% |
| Sad | 5.4% |
| Confused | 4.7% |
| Surprised | 2.8% |
| Fear | 1.8% |
| Happy | 0.9% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 99.5% |
| Calm | 99.3% |
| Surprised | 0.2% |
| Sad | 0.1% |
| Disgusted | 0.1% |
| Angry | 0.1% |
| Confused | 0.1% |
| Happy | 0% |
| Fear | 0% |
AWS Rekognition
| Age | 47-53 |
| Gender | Male, 98.7% |
| Calm | 68.6% |
| Angry | 26.3% |
| Fear | 1.8% |
| Sad | 1.1% |
| Surprised | 0.8% |
| Happy | 0.5% |
| Disgusted | 0.5% |
| Confused | 0.3% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 55.8% |
| Calm | 81.9% |
| Surprised | 4.8% |
| Fear | 3.4% |
| Sad | 2.9% |
| Happy | 2.3% |
| Disgusted | 1.8% |
| Confused | 1.5% |
| Angry | 1.4% |
AWS Rekognition
| Age | 26-36 |
| Gender | Female, 99.4% |
| Calm | 98.6% |
| Surprised | 0.3% |
| Confused | 0.3% |
| Fear | 0.2% |
| Disgusted | 0.2% |
| Sad | 0.1% |
| Angry | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 99.9% |
| Calm | 97.1% |
| Sad | 0.7% |
| Surprised | 0.6% |
| Happy | 0.4% |
| Angry | 0.4% |
| Confused | 0.4% |
| Fear | 0.2% |
| Disgusted | 0.2% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| interior objects | 71.9% | |
| food drinks | 15.8% | |
| events parties | 8.5% | |
| text visuals | 1.5% | |
| cars vehicles | 1.2% | |
Captions
Microsoft
created on 2022-01-08
| a man standing in front of a store | 70.4% | |
| a man standing in front of a building | 67.7% | |
| a man standing in front of a sign | 67.6% | |
Text analysis
Amazon
