Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 71% |
| Sad | 98.4% |
| Fear | 0.8% |
| Calm | 0.2% |
| Angry | 0.1% |
| Confused | 0.1% |
| Surprised | 0.1% |
| Disgusted | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 88.7% |
| Sad | 66% |
| Happy | 24.1% |
| Calm | 4.4% |
| Angry | 1.6% |
| Disgusted | 1.1% |
| Surprised | 1% |
| Fear | 0.9% |
| Confused | 0.9% |
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 92.1% |
| Sad | 32.5% |
| Calm | 22.1% |
| Confused | 17% |
| Fear | 8.1% |
| Happy | 7.4% |
| Angry | 5.9% |
| Surprised | 4% |
| Disgusted | 3% |
AWS Rekognition
| Age | 33-41 |
| Gender | Male, 88.1% |
| Calm | 77% |
| Surprised | 6.5% |
| Fear | 4.5% |
| Sad | 4.2% |
| Happy | 2.4% |
| Confused | 2% |
| Disgusted | 1.8% |
| Angry | 1.6% |
AWS Rekognition
| Age | 33-41 |
| Gender | Female, 68.8% |
| Sad | 53.1% |
| Calm | 36.6% |
| Happy | 5.7% |
| Confused | 2.2% |
| Angry | 1.1% |
| Disgusted | 0.5% |
| Surprised | 0.4% |
| Fear | 0.4% |
AWS Rekognition
| Age | 40-48 |
| Gender | Female, 89.5% |
| Happy | 42.8% |
| Calm | 33.7% |
| Confused | 13.1% |
| Fear | 4% |
| Sad | 3% |
| Disgusted | 1.4% |
| Surprised | 1.3% |
| Angry | 0.8% |
AWS Rekognition
| Age | 49-57 |
| Gender | Male, 75.6% |
| Sad | 88.9% |
| Happy | 5.5% |
| Calm | 2.1% |
| Confused | 1.5% |
| Angry | 0.7% |
| Surprised | 0.5% |
| Disgusted | 0.5% |
| Fear | 0.3% |
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 | Possible |
| 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 |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| interior objects | 99.4% | |
Captions
Microsoft
created on 2022-02-26
| a group of people standing in front of a mirror posing for the camera | 80.8% | |
| a group of people standing in a room | 80.7% | |
| a person standing in front of a mirror posing for the camera | 76.2% | |
Text analysis
Amazon
