Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 10-15 |
Gender | Female, 93.5% |
Angry | 1.6% |
Calm | 22.2% |
Happy | 62.1% |
Disgusted | 1.4% |
Surprised | 1.4% |
Sad | 9.5% |
Confused | 1.7% |
AWS Rekognition
Age | 4-7 |
Gender | Female, 61.7% |
Surprised | 3.6% |
Happy | 8.8% |
Disgusted | 1.6% |
Calm | 13.6% |
Confused | 6.4% |
Angry | 6.7% |
Sad | 59.3% |
AWS Rekognition
Age | 57-77 |
Gender | Female, 99.9% |
Happy | 10% |
Disgusted | 8.2% |
Calm | 68.2% |
Sad | 3.1% |
Confused | 3.1% |
Angry | 4.8% |
Surprised | 2.5% |
Microsoft Cognitive Services
Age | 43 |
Gender | Female |
Microsoft Cognitive Services
Age | 7 |
Gender | Female |
Microsoft Cognitive Services
Age | 4 |
Gender | Male |
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 | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.2% | |