Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 10-15 |
Gender | Male, 50.2% |
Happy | 0.2% |
Disgusted | 0.9% |
Angry | 0.8% |
Surprised | 0.2% |
Sad | 96% |
Calm | 0.3% |
Confused | 1.6% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 61.4% |
Surprised | 2.6% |
Sad | 7.4% |
Happy | 4% |
Disgusted | 0.7% |
Angry | 9.8% |
Calm | 73.6% |
Confused | 2% |
AWS Rekognition
Age | 15-25 |
Gender | Male, 93.4% |
Confused | 0.4% |
Surprised | 0.1% |
Angry | 0.5% |
Sad | 97.8% |
Happy | 0.2% |
Calm | 0.6% |
Disgusted | 0.3% |
AWS Rekognition
Age | 20-38 |
Gender | Male, 52.5% |
Disgusted | 49.7% |
Surprised | 45.6% |
Happy | 45.7% |
Confused | 45.9% |
Calm | 46.2% |
Sad | 45.6% |
Angry | 46.4% |
Microsoft Cognitive Services
Age | 48 |
Gender | Male |
Microsoft Cognitive Services
Age | 43 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Possible |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |