Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 10-15 |
Gender | Male, 90% |
Angry | 12.5% |
Calm | 78.2% |
Surprised | 0.5% |
Happy | 0.7% |
Sad | 6.8% |
Confused | 0.7% |
Disgusted | 0.6% |
AWS Rekognition
Age | 29-45 |
Gender | Female, 97.8% |
Disgusted | 1.9% |
Happy | 4.8% |
Confused | 1.3% |
Surprised | 1.3% |
Calm | 83.8% |
Angry | 1.8% |
Sad | 5.1% |
AWS Rekognition
Age | 45-66 |
Gender | Male, 77.3% |
Sad | 5.7% |
Surprised | 2.5% |
Disgusted | 6.4% |
Confused | 1% |
Angry | 3.5% |
Happy | 8.8% |
Calm | 72% |
Microsoft Cognitive Services
Age | 26 |
Gender | Female |
Microsoft Cognitive Services
Age | 21 |
Gender | Male |
Microsoft Cognitive Services
Age | 59 |
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 unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |