Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Female, 85.6% |
Confused | 1.2% |
Happy | 1% |
Sad | 26.3% |
Disgusted | 0.3% |
Angry | 0.8% |
Calm | 70.1% |
Surprised | 0.3% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 54.1% |
Angry | 47.8% |
Calm | 48.2% |
Surprised | 45.2% |
Sad | 47.9% |
Disgusted | 45.4% |
Happy | 45.3% |
Confused | 45.2% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 53.3% |
Disgusted | 45% |
Confused | 45% |
Calm | 45.1% |
Surprised | 45% |
Happy | 45% |
Sad | 54.8% |
Angry | 45% |
AWS Rekognition
Age | 48-68 |
Gender | Male, 54.3% |
Angry | 45.3% |
Confused | 45.3% |
Calm | 50.8% |
Disgusted | 45.4% |
Happy | 47.3% |
Surprised | 45.3% |
Sad | 45.7% |
AWS Rekognition
Age | 35-53 |
Gender | Female, 72.1% |
Angry | 1.7% |
Happy | 47.7% |
Confused | 1.5% |
Surprised | 2.3% |
Sad | 13% |
Disgusted | 2.6% |
Calm | 31% |
AWS Rekognition
Age | 10-15 |
Gender | Female, 53.3% |
Disgusted | 45.1% |
Confused | 45.3% |
Happy | 47.6% |
Sad | 47.3% |
Surprised | 45.2% |
Calm | 49.3% |
Angry | 45.3% |
AWS Rekognition
Age | 15-25 |
Gender | Female, 54% |
Angry | 45.1% |
Calm | 45.4% |
Disgusted | 45.2% |
Surprised | 45.2% |
Sad | 45.8% |
Happy | 53.2% |
Confused | 45.1% |
AWS Rekognition
Age | 27-44 |
Gender | Female, 53.8% |
Angry | 45.1% |
Surprised | 45.1% |
Sad | 45.9% |
Confused | 45.1% |
Calm | 45.7% |
Disgusted | 45.2% |
Happy | 53% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Calm | 47.8% |
Surprised | 45.1% |
Happy | 45.2% |
Angry | 45.1% |
Confused | 45.1% |
Sad | 51.4% |
Disgusted | 45.2% |
AWS Rekognition
Age | 45-63 |
Gender | Female, 54.6% |
Angry | 45.4% |
Surprised | 45.5% |
Disgusted | 47.7% |
Calm | 50% |
Sad | 45.2% |
Happy | 45.8% |
Confused | 45.5% |
Microsoft Cognitive Services
Age | 39 |
Gender | Male |
Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Microsoft Cognitive Services
Age | 22 |
Gender | Female |
Microsoft Cognitive Services
Age | 21 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 |
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 |
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 |
Feature analysis
Amazon
Person | 99.1% | |