Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Male, 98.3% |
Surprised | 42.1% |
Confused | 29.5% |
Calm | 16.4% |
Disgusted | 1.6% |
Angry | 7.5% |
Happy | 1.1% |
Sad | 1.7% |
AWS Rekognition
Age | 14-25 |
Gender | Female, 90.2% |
Sad | 16.9% |
Calm | 35.5% |
Disgusted | 5% |
Happy | 2.8% |
Angry | 9.4% |
Surprised | 11.7% |
Confused | 18.8% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 99.9% |
Confused | 5.7% |
Surprised | 4.7% |
Sad | 64.5% |
Disgusted | 3.2% |
Happy | 2.9% |
Calm | 11.4% |
Angry | 7.6% |
Microsoft Cognitive Services
Age | 27 |
Gender | Female |
Microsoft Cognitive Services
Age | 37 |
Gender | Male |
Microsoft Cognitive Services
Age | 29 |
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 |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |