Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Female, 61.5% |
Confused | 3.5% |
Calm | 29.1% |
Disgusted | 0.5% |
Surprised | 2.5% |
Sad | 34% |
Angry | 3.4% |
Happy | 27.1% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 93.4% |
Confused | 14.3% |
Sad | 17.4% |
Surprised | 4.8% |
Happy | 1.8% |
Disgusted | 1.5% |
Angry | 8.8% |
Calm | 51.3% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 69.6% |
Calm | 4.8% |
Surprised | 2.9% |
Confused | 7.9% |
Angry | 2.2% |
Happy | 2.9% |
Sad | 77.6% |
Disgusted | 1.7% |
AWS Rekognition
Age | 35-52 |
Gender | Male, 59.4% |
Angry | 11.6% |
Disgusted | 5% |
Happy | 3.2% |
Sad | 36.3% |
Surprised | 7.8% |
Confused | 11.5% |
Calm | 24.5% |
Microsoft Cognitive Services
Age | 53 |
Gender | Male |
Microsoft Cognitive Services
Age | 65 |
Gender | Male |
Microsoft Cognitive Services
Age | 60 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Possible |
Joy | Possible |
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 |