Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Female, 60.4% |
Confused | 0.4% |
Surprised | 0.3% |
Happy | 0.3% |
Calm | 98.2% |
Disgusted | 0.1% |
Sad | 0.4% |
Angry | 0.3% |
AWS Rekognition
Age | 4-7 |
Gender | Female, 99.6% |
Confused | 14.6% |
Calm | 17.3% |
Angry | 4.6% |
Surprised | 18.1% |
Sad | 10.1% |
Happy | 33% |
Disgusted | 2.3% |
AWS Rekognition
Age | 57-77 |
Gender | Male, 98.2% |
Calm | 97.3% |
Disgusted | 0.2% |
Surprised | 0.4% |
Confused | 0.5% |
Happy | 0.7% |
Angry | 0.3% |
Sad | 0.7% |
Microsoft Cognitive Services
Age | 68 |
Gender | Male |
Microsoft Cognitive Services
Age | 32 |
Gender | Female |
Microsoft Cognitive Services
Age | 0 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 | Very unlikely |
Blurred | Very unlikely |