Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 9-14 |
Gender | Male, 81.1% |
Angry | 11.1% |
Disgusted | 1.5% |
Happy | 2.2% |
Sad | 67.8% |
Calm | 13% |
Surprised | 1.4% |
Confused | 3% |
AWS Rekognition
Age | 10-15 |
Gender | Male, 70.3% |
Disgusted | 3.5% |
Sad | 13.5% |
Confused | 2.4% |
Happy | 1.1% |
Surprised | 1.3% |
Angry | 70.7% |
Calm | 7.5% |
AWS Rekognition
Age | 6-13 |
Gender | Male, 61.9% |
Disgusted | 4.1% |
Happy | 2.4% |
Angry | 43% |
Calm | 35.3% |
Sad | 11% |
Confused | 2.4% |
Surprised | 1.8% |
Microsoft Cognitive Services
Age | 6 |
Gender | Male |
Microsoft Cognitive Services
Age | 7 |
Gender | Male |
Microsoft Cognitive Services
Age | 6 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | 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 | Possible |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.8% | |