Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 27-37 |
Gender | Female, 100% |
Happy | 96.8% |
Surprised | 0.6% |
Fear | 0.6% |
Calm | 0.5% |
Sad | 0.5% |
Angry | 0.5% |
Disgusted | 0.3% |
Confused | 0.2% |
AWS Rekognition
Age | 0-3 |
Gender | Male, 64.9% |
Calm | 95.4% |
Happy | 2.8% |
Sad | 0.6% |
Surprised | 0.4% |
Disgusted | 0.2% |
Angry | 0.2% |
Fear | 0.2% |
Confused | 0.2% |
AWS Rekognition
Age | 36-44 |
Gender | Male, 100% |
Calm | 99.8% |
Sad | 0.1% |
Confused | 0% |
Surprised | 0% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |
Microsoft Cognitive Services
Age | 34 |
Gender | Female |
Microsoft Cognitive Services
Age | 44 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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 | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.3% | |
Refrigerator | 87% | |