Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 29-45 |
Gender | Female, 80.6% |
Angry | 7.5% |
Sad | 52.6% |
Surprised | 5.4% |
Confused | 10.1% |
Calm | 11.6% |
Happy | 7.2% |
Disgusted | 5.6% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 98.1% |
Happy | 99.1% |
Disgusted | 0% |
Confused | 0.1% |
Surprised | 0.1% |
Calm | 0.4% |
Sad | 0.1% |
Angry | 0.2% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 99.9% |
Sad | 1.2% |
Confused | 0.5% |
Angry | 0.8% |
Surprised | 0.9% |
Calm | 0.1% |
Happy | 96% |
Disgusted | 0.5% |
AWS Rekognition
Age | 15-25 |
Gender | Male, 63.1% |
Calm | 18.7% |
Happy | 1.9% |
Confused | 9.7% |
Disgusted | 9.1% |
Sad | 17.4% |
Surprised | 10% |
Angry | 33.2% |
Microsoft Cognitive Services
Age | 39 |
Gender | Female |
Microsoft Cognitive Services
Age | 63 |
Gender | Male |
Microsoft Cognitive Services
Age | 39 |
Gender | Female |
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 |