Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 10-15 |
Gender | Female, 95.1% |
Calm | 45.2% |
Confused | 4.3% |
Sad | 25.2% |
Angry | 8.4% |
Happy | 5.6% |
Surprised | 2.5% |
Disgusted | 8.7% |
AWS Rekognition
Age | 30-47 |
Gender | Male, 57.9% |
Disgusted | 1.5% |
Angry | 5.5% |
Sad | 15.4% |
Happy | 15.2% |
Calm | 54.6% |
Confused | 2.3% |
Surprised | 5.6% |
AWS Rekognition
Age | 57-77 |
Gender | Male, 62.3% |
Surprised | 1% |
Sad | 4.3% |
Calm | 4.8% |
Confused | 3.5% |
Disgusted | 68.2% |
Happy | 1% |
Angry | 17.1% |
Microsoft Cognitive Services
Age | 19 |
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 unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |