Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Male, 99.2% |
Happy | 45.5% |
Calm | 3.3% |
Confused | 9.2% |
Sad | 3.1% |
Disgusted | 9.1% |
Surprised | 17.5% |
Angry | 12.2% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 99.9% |
Sad | 0% |
Calm | 0.1% |
Happy | 98.3% |
Surprised | 0.5% |
Disgusted | 0.2% |
Confused | 0.6% |
Angry | 0.3% |
AWS Rekognition
Age | 19-36 |
Gender | Female, 99.7% |
Surprised | 5.5% |
Angry | 15.1% |
Sad | 9.2% |
Confused | 3.7% |
Calm | 41.1% |
Happy | 23.1% |
Disgusted | 2.3% |
Microsoft Cognitive Services
Age | 35 |
Gender | Male |
Microsoft Cognitive Services
Age | 29 |
Gender | Female |
Microsoft Cognitive Services
Age | 43 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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 |