Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 41-49 |
| Gender | Male, 98.9% |
| Calm | 92.5% |
| Sad | 5.5% |
| Confused | 0.9% |
| Angry | 0.5% |
| Disgusted | 0.2% |
| Surprised | 0.2% |
| Happy | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 97.3% |
| Calm | 59.3% |
| Sad | 18.9% |
| Confused | 16.1% |
| Happy | 2.1% |
| Surprised | 1.3% |
| Disgusted | 1.2% |
| Angry | 0.7% |
| Fear | 0.5% |
AWS Rekognition
| Age | 33-41 |
| Gender | Male, 99.8% |
| Calm | 32% |
| Fear | 19.7% |
| Sad | 18.4% |
| Confused | 13.3% |
| Happy | 7.7% |
| Angry | 4.5% |
| Disgusted | 2.4% |
| Surprised | 2% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 93.7% |
| Fear | 49.4% |
| Calm | 40.5% |
| Disgusted | 2.8% |
| Sad | 2.1% |
| Happy | 1.7% |
| Surprised | 1.6% |
| Confused | 1.2% |
| Angry | 0.7% |
AWS Rekognition
| Age | 52-60 |
| Gender | Female, 74.2% |
| Calm | 90.3% |
| Happy | 4.3% |
| Confused | 1.9% |
| Sad | 1.7% |
| Angry | 0.6% |
| Disgusted | 0.5% |
| Surprised | 0.4% |
| Fear | 0.3% |
AWS Rekognition
| Age | 30-40 |
| Gender | Male, 99.5% |
| Fear | 68% |
| Calm | 21.5% |
| Sad | 3.7% |
| Happy | 2.3% |
| Surprised | 1.7% |
| Angry | 1.1% |
| Disgusted | 1.1% |
| Confused | 0.5% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 97.2% |
| Calm | 95.5% |
| Sad | 3.1% |
| Confused | 0.6% |
| Angry | 0.3% |
| Happy | 0.3% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Surprised | 0.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | 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 | Unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Unlikely |
Feature analysis
Categories
Imagga
| interior objects | 95.9% | |
| text visuals | 2.6% | |
| streetview architecture | 1% | |
Captions
Microsoft
created on 2022-01-22
| a group of people standing in front of a car | 84.7% | |
| a group of people standing next to a car | 83.8% | |
| a group of people standing on top of a car | 77.7% | |
Text analysis
Amazon
