Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 6-12 |
| Gender | Male, 71.7% |
| Happy | 99.9% |
| Calm | 0% |
| Confused | 0% |
| Angry | 0% |
| Surprised | 0% |
| Sad | 0% |
| Fear | 0% |
| Disgusted | 0% |
AWS Rekognition
| Age | 6-12 |
| Gender | Female, 100% |
| Calm | 76.4% |
| Confused | 10.3% |
| Angry | 3.6% |
| Sad | 2.5% |
| Surprised | 2.3% |
| Fear | 2% |
| Disgusted | 1.9% |
| Happy | 1% |
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 100% |
| Happy | 81.9% |
| Calm | 13.7% |
| Surprised | 1.4% |
| Confused | 1.2% |
| Fear | 0.5% |
| Angry | 0.5% |
| Sad | 0.5% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 10-18 |
| Gender | Female, 99.6% |
| Confused | 42.2% |
| Calm | 12.3% |
| Sad | 10% |
| Surprised | 10% |
| Disgusted | 7.2% |
| Happy | 7.2% |
| Fear | 5.9% |
| Angry | 5.3% |
AWS Rekognition
| Age | 4-12 |
| Gender | Female, 99.6% |
| Calm | 99.5% |
| Confused | 0.2% |
| Surprised | 0.1% |
| Angry | 0.1% |
| Fear | 0% |
| Disgusted | 0% |
| Sad | 0% |
| Happy | 0% |
AWS Rekognition
| Age | 6-14 |
| Gender | Male, 100% |
| Happy | 99.3% |
| Surprised | 0.2% |
| Fear | 0.1% |
| Confused | 0.1% |
| Sad | 0.1% |
| Disgusted | 0.1% |
| Calm | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 2-10 |
| Gender | Female, 100% |
| Calm | 93.9% |
| Fear | 4% |
| Surprised | 0.6% |
| Sad | 0.4% |
| Angry | 0.3% |
| Disgusted | 0.3% |
| Confused | 0.3% |
| Happy | 0.3% |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Female |
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 likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| 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 likely |
| 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 | 42.3% | |
| paintings art | 35.9% | |
| pets animals | 6.3% | |
| beaches seaside | 3.7% | |
| food drinks | 3% | |
| nature landscape | 2.4% | |
| events parties | 1.8% | |
| sunrises sunsets | 1.3% | |
| text visuals | 1.1% | |
Captions
Microsoft
created on 2022-02-25
| a group of people posing for a photo | 85.1% | |
| a group of people posing for the camera | 85% | |
| a group of people posing for a picture | 84.9% | |