Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 87.9% |
| Sad | 0.8% |
| Confused | 0.9% |
| Angry | 1.8% |
| Surprised | 2.1% |
| Calm | 0.6% |
| Disgusted | 1.2% |
| Happy | 92.6% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 98.7% |
| Happy | 96% |
| Sad | 1.5% |
| Angry | 0.8% |
| Disgusted | 0.4% |
| Surprised | 0.8% |
| Calm | 0.2% |
| Confused | 0.2% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 99.4% |
| Calm | 81.8% |
| Disgusted | 0.5% |
| Confused | 2.6% |
| Happy | 1.5% |
| Surprised | 1.5% |
| Angry | 1.5% |
| Sad | 10.7% |
AWS Rekognition
| Age | 49-69 |
| Gender | Male, 98.2% |
| Calm | 27% |
| Happy | 3% |
| Sad | 46.7% |
| Angry | 6.1% |
| Disgusted | 2.6% |
| Confused | 12.4% |
| Surprised | 2.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 99.4% |
| Disgusted | 0.9% |
| Confused | 1.1% |
| Surprised | 0.7% |
| Angry | 1.3% |
| Happy | 92.4% |
| Sad | 3.2% |
| Calm | 0.4% |
AWS Rekognition
| Age | 14-25 |
| Gender | Female, 95.8% |
| Sad | 0.3% |
| Angry | 0.5% |
| Surprised | 0.2% |
| Happy | 98.1% |
| Calm | 0.1% |
| Confused | 0.3% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 97.7% |
| Disgusted | 0.4% |
| Surprised | 1.3% |
| Confused | 2.4% |
| Angry | 57.9% |
| Sad | 24.4% |
| Calm | 13.2% |
| Happy | 0.4% |
Microsoft Cognitive Services
| Age | 28 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 66 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 37 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 28 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 32 |
| Gender | Male |
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 |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| people portraits | 97.4% | |
| paintings art | 2.4% | |
Captions
Microsoft
created on 2019-03-25
| a group of people sitting at a table | 99% | |
| a group of people sitting at a table posing for a photo | 98.9% | |
| a group of people sitting at a table posing for the camera | 98.8% | |