Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 99.5% |
| Calm | 55.8% |
| Sad | 40.8% |
| Confused | 2.4% |
| Happy | 0.4% |
| Disgusted | 0.3% |
| Angry | 0.2% |
| Surprised | 0.1% |
| Fear | 0.1% |
AWS Rekognition
| Age | 39-47 |
| Gender | Female, 98.8% |
| Calm | 95.2% |
| Sad | 3.9% |
| Surprised | 0.4% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Confused | 0.1% |
| Happy | 0.1% |
| Fear | 0% |
AWS Rekognition
| Age | 50-58 |
| Gender | Male, 90.1% |
| Calm | 99.8% |
| Sad | 0% |
| Happy | 0% |
| Confused | 0% |
| Disgusted | 0% |
| Surprised | 0% |
| Angry | 0% |
| Fear | 0% |
AWS Rekognition
| Age | 50-58 |
| Gender | Male, 96.4% |
| Calm | 98.6% |
| Happy | 0.3% |
| Confused | 0.2% |
| Surprised | 0.2% |
| Sad | 0.2% |
| Angry | 0.2% |
| Disgusted | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 95.5% |
| Calm | 97.5% |
| Angry | 0.6% |
| Sad | 0.6% |
| Confused | 0.4% |
| Surprised | 0.4% |
| Happy | 0.2% |
| Disgusted | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 22-30 |
| Gender | Female, 70.3% |
| Calm | 92% |
| Surprised | 2.6% |
| Sad | 1.5% |
| Confused | 1.4% |
| Disgusted | 0.8% |
| Happy | 0.8% |
| Angry | 0.6% |
| Fear | 0.2% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 89.5% |
| Calm | 96.6% |
| Happy | 1.7% |
| Sad | 0.7% |
| Confused | 0.3% |
| Disgusted | 0.2% |
| Fear | 0.2% |
| Angry | 0.1% |
| Surprised | 0.1% |
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 |
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 | 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
| people portraits | 66.3% | |
| events parties | 25.4% | |
| interior objects | 5.6% | |
| streetview architecture | 1% | |
| food drinks | 1% | |
Captions
Microsoft
created on 2022-03-05
| a group of people sitting at a table | 95.6% | |
| a group of people sitting in front of a window | 91.6% | |
| a group of people sitting around a table | 91.5% | |
Text analysis
Amazon
