Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 22-30 |
Gender | Female, 52.7% |
Confused | 74.9% |
Calm | 9.4% |
Angry | 9% |
Sad | 2.8% |
Disgusted | 2.1% |
Surprised | 1% |
Fear | 0.6% |
Happy | 0.3% |
AWS Rekognition
Age | 25-35 |
Gender | Male, 100% |
Calm | 88.4% |
Fear | 8.3% |
Confused | 1.6% |
Angry | 0.6% |
Sad | 0.6% |
Disgusted | 0.2% |
Happy | 0.1% |
Surprised | 0.1% |
AWS Rekognition
Age | 23-31 |
Gender | Male, 100% |
Calm | 64.5% |
Angry | 28.2% |
Confused | 6.3% |
Disgusted | 0.5% |
Sad | 0.2% |
Happy | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
Microsoft Cognitive Services
Age | 29 |
Gender | Male |
Microsoft Cognitive Services
Age | 28 |
Gender | Male |
Microsoft Cognitive Services
Age | 31 |
Gender | Male |
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 |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |