Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Female, 97.1% |
Disgusted | 0.9% |
Happy | 0.7% |
Confused | 1% |
Sad | 73.9% |
Surprised | 0.6% |
Calm | 21.5% |
Angry | 1.5% |
AWS Rekognition
Age | 23-38 |
Gender | Male, 74.7% |
Confused | 4.6% |
Sad | 58.2% |
Angry | 2.6% |
Happy | 0.6% |
Calm | 31.7% |
Disgusted | 1.3% |
Surprised | 1.1% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 80.1% |
Happy | 4.3% |
Calm | 71.8% |
Angry | 4.2% |
Disgusted | 3.7% |
Confused | 2.9% |
Surprised | 3.6% |
Sad | 9.5% |
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 |
Feature analysis
Amazon
Person | 99.8% | |