Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 55-73 |
| Gender | Male, 96.1% |
| Calm | 98% |
| Angry | 0.5% |
| Sad | 0.4% |
| Surprised | 0.4% |
| Happy | 0.3% |
| Confused | 0.2% |
| Disgusted | 0.1% |
| Fear | 0.1% |
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 99.9% |
| Happy | 98.7% |
| Calm | 0.4% |
| Disgusted | 0.3% |
| Surprised | 0.2% |
| Confused | 0.2% |
| Fear | 0.1% |
| Sad | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 36-54 |
| Gender | Male, 98.2% |
| Happy | 57.3% |
| Surprised | 15.7% |
| Calm | 8.8% |
| Disgusted | 6.9% |
| Angry | 5% |
| Confused | 3.8% |
| Fear | 1.5% |
| Sad | 1.1% |
AWS Rekognition
| Age | 51-69 |
| Gender | Female, 62.9% |
| Calm | 75.6% |
| Happy | 9.3% |
| Disgusted | 4.3% |
| Sad | 4% |
| Angry | 2.6% |
| Surprised | 1.7% |
| Fear | 1.6% |
| Confused | 0.8% |
AWS Rekognition
| Age | 51-69 |
| Gender | Female, 99.4% |
| Calm | 72.3% |
| Happy | 16.6% |
| Surprised | 4.4% |
| Disgusted | 2.4% |
| Confused | 1.8% |
| Sad | 1.2% |
| Angry | 0.7% |
| Fear | 0.6% |
AWS Rekognition
| Age | 51-69 |
| Gender | Male, 95% |
| Calm | 92.6% |
| Angry | 3.2% |
| Happy | 2.2% |
| Sad | 1% |
| Surprised | 0.4% |
| Disgusted | 0.3% |
| Confused | 0.3% |
| Fear | 0.1% |
Microsoft Cognitive Services
| Age | 63 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 51 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 58 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 71 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 44 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 49 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| 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 |
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
| people portraits | 94.8% | |
| events parties | 2.3% | |
| paintings art | 1.2% | |
Captions
Microsoft
created on 2021-12-14
| Gladys Taber et al. posing for a photo | 97.5% | |
| Gladys Taber et al. posing for the camera | 97.4% | |
| Gladys Taber et al. posing for a picture | 97.3% | |
Text analysis
Amazon
