Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Female, 99.9% |
Sad | 97.5% |
Calm | 0.4% |
Surprised | 0.1% |
Angry | 0.3% |
Disgusted | 0.9% |
Happy | 0.5% |
Confused | 0.2% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 69% |
Happy | 0.3% |
Disgusted | 0.6% |
Confused | 0.3% |
Calm | 96.6% |
Angry | 0.4% |
Sad | 1.4% |
Surprised | 0.5% |
AWS Rekognition
Age | 23-38 |
Gender | Male, 86.5% |
Happy | 0.6% |
Disgusted | 0.1% |
Angry | 1.3% |
Confused | 0.8% |
Calm | 7% |
Surprised | 0.5% |
Sad | 89.8% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 87.5% |
Angry | 6.6% |
Calm | 58.5% |
Sad | 21.7% |
Happy | 1.7% |
Confused | 4.2% |
Surprised | 4% |
Disgusted | 3.3% |
Microsoft Cognitive Services
Age | 12 |
Gender | Male |
Microsoft Cognitive Services
Age | 56 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Likely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |