Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Male, 84.2% |
Calm | 19.7% |
Surprised | 1.6% |
Happy | 12.9% |
Angry | 9.8% |
Sad | 14.5% |
Confused | 5.5% |
Disgusted | 36.1% |
AWS Rekognition
Age | 12-22 |
Gender | Female, 99.4% |
Disgusted | 0.1% |
Angry | 0.3% |
Sad | 5.3% |
Surprised | 0.2% |
Confused | 0.3% |
Calm | 92.8% |
Happy | 0.8% |
AWS Rekognition
Age | 20-38 |
Gender | Male, 51.4% |
Sad | 3.8% |
Confused | 1.1% |
Disgusted | 0.5% |
Surprised | 1.2% |
Calm | 90.8% |
Angry | 1.3% |
Happy | 1.4% |
AWS Rekognition
Age | 19-36 |
Gender | Female, 56.1% |
Angry | 4.3% |
Calm | 42.1% |
Confused | 1.7% |
Disgusted | 4% |
Sad | 41.9% |
Surprised | 2.3% |
Happy | 3.6% |
Microsoft Cognitive Services
Age | 51 |
Gender | Male |
Microsoft Cognitive Services
Age | 27 |
Gender | Female |
Microsoft Cognitive Services
Age | 30 |
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 | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.7% | |