Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-33 |
Gender | Male, 92.9% |
Calm | 99.8% |
Surprised | 0.1% |
Confused | 0% |
Sad | 0% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |
Fear | 0% |
AWS Rekognition
Age | 23-33 |
Gender | Female, 89.7% |
Surprised | 63% |
Calm | 34% |
Happy | 1.4% |
Confused | 0.5% |
Sad | 0.4% |
Disgusted | 0.4% |
Angry | 0.2% |
Fear | 0.2% |
AWS Rekognition
Age | 48-54 |
Gender | Female, 61.8% |
Calm | 60.8% |
Surprised | 34.9% |
Angry | 1.7% |
Happy | 1% |
Disgusted | 0.5% |
Sad | 0.5% |
Fear | 0.4% |
Confused | 0.2% |
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 |
Feature analysis
Amazon
Person | 99.4% | |
Sunglasses | 75% | |