Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 6-14 |
| Gender | Male, 96.8% |
| Sad | 100% |
| Calm | 14.9% |
| Surprised | 6.3% |
| Fear | 6% |
| Confused | 2.2% |
| Angry | 0.3% |
| Disgusted | 0.2% |
| Happy | 0.1% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 99.6% |
| Calm | 73.7% |
| Sad | 27.3% |
| Surprised | 6.4% |
| Fear | 6% |
| Happy | 3.4% |
| Confused | 1% |
| Angry | 0.9% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 98.5% |
| Sad | 56.3% |
| Calm | 55.1% |
| Confused | 7.2% |
| Fear | 7.2% |
| Surprised | 7.1% |
| Disgusted | 1.8% |
| Happy | 1.4% |
| Angry | 1.3% |
AWS Rekognition
| Age | 10-18 |
| Gender | Male, 99.4% |
| Sad | 79.1% |
| Calm | 53.2% |
| Surprised | 6.5% |
| Fear | 6.3% |
| Confused | 5.1% |
| Angry | 2.7% |
| Disgusted | 0.9% |
| Happy | 0.7% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 70.3% |
| Calm | 81.6% |
| Sad | 11% |
| Surprised | 6.4% |
| Fear | 6.3% |
| Confused | 2.7% |
| Happy | 1.6% |
| Angry | 0.5% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 6-14 |
| Gender | Female, 99.3% |
| Happy | 62.3% |
| Fear | 15% |
| Confused | 8.3% |
| Surprised | 7.8% |
| Disgusted | 4.1% |
| Sad | 3% |
| Calm | 2.3% |
| Angry | 2.3% |
AWS Rekognition
| Age | 16-22 |
| Gender | Male, 81% |
| Calm | 80.8% |
| Surprised | 6.8% |
| Disgusted | 6.4% |
| Fear | 6% |
| Angry | 5.4% |
| Sad | 2.7% |
| Confused | 2.3% |
| Happy | 2% |
AWS Rekognition
| Age | 6-12 |
| Gender | Male, 88.5% |
| Happy | 72.6% |
| Calm | 10.1% |
| Angry | 7.2% |
| Surprised | 7.1% |
| Fear | 6.2% |
| Sad | 3.7% |
| Disgusted | 2.8% |
| Confused | 1.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very likely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Likely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Possible |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very likely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Possible |
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 | 43.7% | |
| paintings art | 41.2% | |
| cars vehicles | 9.5% | |
| food drinks | 2.1% | |
| beaches seaside | 1.5% | |
Captions
Microsoft
created on 2022-06-25
| a group of people posing for a photo | 98% | |
| a vintage photo of a group of people posing for the camera | 97.2% | |
| a vintage photo of a group of people posing for a picture | 97.1% | |
Text analysis
