Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 38-59 |
Gender | Male, 98.8% |
Surprised | 9.2% |
Angry | 3.9% |
Sad | 4.2% |
Calm | 64.4% |
Disgusted | 2.1% |
Confused | 9.9% |
Happy | 6.3% |
AWS Rekognition
Age | 48-68 |
Gender | Female, 94.7% |
Confused | 3.1% |
Sad | 8.6% |
Disgusted | 0.7% |
Happy | 0.3% |
Angry | 4.8% |
Surprised | 1.4% |
Calm | 81% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 97.3% |
Angry | 3.7% |
Disgusted | 1.2% |
Calm | 74.3% |
Happy | 3.9% |
Sad | 9.9% |
Surprised | 3.6% |
Confused | 3.4% |
Microsoft Cognitive Services
Age | 58 |
Gender | Male |
Microsoft Cognitive Services
Age | 52 |
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 |