Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 49-69 |
Gender | Male, 97.4% |
Angry | 4.2% |
Calm | 82.9% |
Surprised | 2.5% |
Confused | 2.7% |
Happy | 1.9% |
Disgusted | 0.8% |
Sad | 5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 99.9% |
Happy | 2% |
Calm | 62.7% |
Sad | 23.6% |
Confused | 3.2% |
Disgusted | 1.8% |
Surprised | 2.6% |
Angry | 4.2% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 98.4% |
Angry | 4.2% |
Disgusted | 1.2% |
Surprised | 2.4% |
Confused | 1.9% |
Happy | 2.2% |
Sad | 10.7% |
Calm | 77.2% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 86.4% |
Disgusted | 5.3% |
Angry | 8.9% |
Happy | 11.2% |
Calm | 45.7% |
Sad | 17.6% |
Confused | 4.9% |
Surprised | 6.4% |
Microsoft Cognitive Services
Age | 38 |
Gender | Male |
Microsoft Cognitive Services
Age | 37 |
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 |