Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 10-15 |
Gender | Female, 94.1% |
Surprised | 82.8% |
Happy | 0.5% |
Disgusted | 0.8% |
Confused | 2.6% |
Calm | 9.3% |
Angry | 2.8% |
Sad | 1.2% |
AWS Rekognition
Age | 29-45 |
Gender | Female, 60.8% |
Calm | 8.6% |
Angry | 19.5% |
Surprised | 4.6% |
Sad | 43.9% |
Disgusted | 6.6% |
Happy | 8.8% |
Confused | 8% |
AWS Rekognition
Age | 35-52 |
Gender | Female, 99.3% |
Calm | 4.5% |
Surprised | 1.3% |
Sad | 84% |
Angry | 3.1% |
Disgusted | 1% |
Confused | 1.7% |
Happy | 4.4% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 70.5% |
Angry | 1.5% |
Confused | 1% |
Disgusted | 1.2% |
Happy | 0.6% |
Surprised | 0.6% |
Sad | 92.5% |
Calm | 2.6% |
Microsoft Cognitive Services
Age | 38 |
Gender | Female |
Microsoft Cognitive Services
Age | 20 |
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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |