Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 38-57 |
Gender | Male, 89.9% |
Confused | 1% |
Disgusted | 0.3% |
Surprised | 0.5% |
Happy | 0.3% |
Sad | 93.4% |
Calm | 3.4% |
Angry | 1.2% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 79% |
Calm | 20.4% |
Happy | 9.3% |
Surprised | 15.6% |
Sad | 14.6% |
Angry | 20.5% |
Confused | 9.7% |
Disgusted | 10% |
AWS Rekognition
Age | 35-52 |
Gender | Male, 99.4% |
Disgusted | 1% |
Sad | 15.5% |
Confused | 3.2% |
Happy | 0.5% |
Calm | 73.8% |
Angry | 4.9% |
Surprised | 1.3% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 99.8% |
Confused | 5.3% |
Disgusted | 20.9% |
Sad | 52.4% |
Happy | 1.6% |
Calm | 6.4% |
Angry | 3.3% |
Surprised | 9.9% |
Microsoft Cognitive Services
Age | 25 |
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 | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |