Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Female, 87.9% |
Surprised | 4.8% |
Angry | 16.8% |
Sad | 26.6% |
Calm | 31.5% |
Disgusted | 7.1% |
Confused | 7.8% |
Happy | 5.4% |
AWS Rekognition
Age | 60-90 |
Gender | Female, 57.5% |
Happy | 0.8% |
Disgusted | 2.6% |
Calm | 65% |
Surprised | 6.5% |
Angry | 4.1% |
Sad | 7.2% |
Confused | 13.8% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 80% |
Surprised | 2.8% |
Happy | 2% |
Disgusted | 2.7% |
Angry | 2.1% |
Confused | 4.3% |
Calm | 79.5% |
Sad | 6.6% |
AWS Rekognition
Age | 27-44 |
Gender | Male, 85.3% |
Confused | 7.4% |
Sad | 38.4% |
Calm | 33.7% |
Surprised | 3.5% |
Disgusted | 3.7% |
Angry | 5.6% |
Happy | 7.8% |
Microsoft Cognitive Services
Age | 66 |
Gender | Male |
Microsoft Cognitive Services
Age | 50 |
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 |