Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 29-45 |
Gender | Female, 69.8% |
Confused | 2.8% |
Happy | 2.2% |
Angry | 5.3% |
Sad | 46.9% |
Calm | 33.7% |
Disgusted | 6.4% |
Surprised | 2.7% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 98.9% |
Sad | 12.8% |
Disgusted | 15.1% |
Angry | 14.1% |
Surprised | 3.8% |
Calm | 41.1% |
Confused | 9.7% |
Happy | 3.5% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 97.7% |
Calm | 70.6% |
Confused | 2% |
Sad | 5% |
Angry | 6.1% |
Happy | 1.3% |
Disgusted | 13.3% |
Surprised | 1.6% |
Microsoft Cognitive Services
Age | 39 |
Gender | Female |
Microsoft Cognitive Services
Age | 39 |
Gender | Male |
Microsoft Cognitive Services
Age | 39 |
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 | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |