Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 15-25 |
Gender | Female, 99.4% |
Happy | 0.8% |
Disgusted | 0.8% |
Angry | 1.8% |
Calm | 30.9% |
Surprised | 0.7% |
Confused | 1% |
Sad | 64% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 96.3% |
Happy | 2.4% |
Confused | 3.4% |
Angry | 2.5% |
Disgusted | 1% |
Sad | 3.4% |
Surprised | 1.7% |
Calm | 85.7% |
AWS Rekognition
Age | 17-27 |
Gender | Female, 99.8% |
Confused | 4.7% |
Angry | 4.2% |
Happy | 0.4% |
Disgusted | 1% |
Sad | 3.8% |
Calm | 84.4% |
Surprised | 1.5% |
Microsoft Cognitive Services
Age | 21 |
Gender | Female |
Microsoft Cognitive Services
Age | 29 |
Gender | Female |
Microsoft Cognitive Services
Age | 27 |
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 | Possible |
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 | 99.5% | |