Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 4-9 |
Gender | Female, 68.7% |
Confused | 1.2% |
Sad | 42.4% |
Happy | 42.9% |
Calm | 2.8% |
Disgusted | 4.9% |
Angry | 3.8% |
Surprised | 1.9% |
AWS Rekognition
Age | 14-23 |
Gender | Female, 98.4% |
Confused | 2.6% |
Calm | 5.5% |
Disgusted | 1.4% |
Angry | 43.6% |
Surprised | 0.7% |
Sad | 45.6% |
Happy | 0.6% |
AWS Rekognition
Age | 10-15 |
Gender | Female, 76.5% |
Happy | 0.6% |
Calm | 2.2% |
Disgusted | 0.4% |
Confused | 0.6% |
Surprised | 0.3% |
Sad | 84.8% |
Angry | 11.1% |
Microsoft Cognitive Services
Age | 9 |
Gender | Female |
Microsoft Cognitive Services
Age | 13 |
Gender | Male |
Microsoft Cognitive Services
Age | 10 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | 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 | Likely |
Headwear | Possible |
Blurred | Very unlikely |