Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Female, 99.8% |
Angry | 1.1% |
Sad | 2.2% |
Surprised | 0.7% |
Confused | 0.6% |
Happy | 1.1% |
Calm | 93.7% |
Disgusted | 0.5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 52.2% |
Happy | 0.2% |
Disgusted | 0.2% |
Surprised | 0.2% |
Calm | 5.3% |
Angry | 1.2% |
Confused | 0.7% |
Sad | 92.3% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 89.7% |
Sad | 3.4% |
Calm | 81.5% |
Happy | 1% |
Disgusted | 5.4% |
Surprised | 0.8% |
Angry | 7.5% |
Confused | 0.5% |
Microsoft Cognitive Services
Age | 32 |
Gender | Male |
Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Microsoft Cognitive Services
Age | 32 |
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 likely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |