Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 92.9% |
| Disgusted | 4.3% |
| Calm | 28.4% |
| Confused | 19.6% |
| Happy | 21.2% |
| Surprised | 14.3% |
| Angry | 5.2% |
| Sad | 7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 87.5% |
| Angry | 17.6% |
| Happy | 14.5% |
| Calm | 31.6% |
| Confused | 6.3% |
| Sad | 4.9% |
| Disgusted | 16.6% |
| Surprised | 8.6% |
AWS Rekognition
| Age | 14-25 |
| Gender | Female, 56.2% |
| Happy | 0.4% |
| Calm | 5.8% |
| Sad | 90.2% |
| Surprised | 0.5% |
| Angry | 1.6% |
| Confused | 0.6% |
| Disgusted | 0.9% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 52.1% |
| Angry | 45.1% |
| Surprised | 45.1% |
| Calm | 45.2% |
| Happy | 45.2% |
| Confused | 45.1% |
| Disgusted | 45.1% |
| Sad | 54.3% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 58.7% |
| Angry | 5.2% |
| Calm | 24.2% |
| Surprised | 19.5% |
| Sad | 7.8% |
| Disgusted | 4.9% |
| Happy | 26.3% |
| Confused | 12.1% |
AWS Rekognition
| Age | 27-44 |
| Gender | Male, 51% |
| Angry | 49.8% |
| Confused | 45.1% |
| Calm | 45.2% |
| Surprised | 45% |
| Sad | 49.7% |
| Happy | 45% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 52.9% |
| Happy | 45.1% |
| Angry | 47.4% |
| Calm | 45.2% |
| Sad | 51.5% |
| Surprised | 45.1% |
| Confused | 45.2% |
| Disgusted | 45.6% |
AWS Rekognition
| Age | 14-25 |
| Gender | Female, 52.1% |
| Calm | 46.8% |
| Confused | 45.4% |
| Happy | 45.3% |
| Surprised | 45.9% |
| Angry | 45.9% |
| Disgusted | 45.6% |
| Sad | 50.2% |
AWS Rekognition
| Age | 6-13 |
| Gender | Female, 53.5% |
| Angry | 45.3% |
| Happy | 45.1% |
| Disgusted | 45.1% |
| Confused | 45.2% |
| Calm | 52.2% |
| Surprised | 45.3% |
| Sad | 46.8% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 51.9% |
| Calm | 53.3% |
| Surprised | 45.1% |
| Happy | 45.1% |
| Angry | 45.2% |
| Confused | 45.2% |
| Sad | 46.1% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 54.8% |
| Calm | 46% |
| Angry | 45.7% |
| Happy | 45.8% |
| Sad | 51.7% |
| Surprised | 45.3% |
| Confused | 45.2% |
| Disgusted | 45.3% |
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 52% |
| Calm | 50.6% |
| Sad | 47.2% |
| Happy | 45.6% |
| Confused | 45.3% |
| Angry | 45.2% |
| Surprised | 45.6% |
| Disgusted | 45.4% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 53.2% |
| Calm | 45.4% |
| Sad | 46.9% |
| Angry | 51.4% |
| Surprised | 45.2% |
| Disgusted | 45.2% |
| Confused | 45.2% |
| Happy | 45.6% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 54.4% |
| Calm | 50.8% |
| Confused | 45.3% |
| Happy | 45.3% |
| Surprised | 45.7% |
| Angry | 45.6% |
| Disgusted | 45.7% |
| Sad | 46.7% |
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 50.1% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Calm | 49.7% |
| Sad | 50.2% |
| Happy | 49.5% |
| Surprised | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 52.9% |
| Sad | 54.5% |
| Surprised | 45.1% |
| Confused | 45.1% |
| Angry | 45.1% |
| Happy | 45.1% |
| Calm | 45.1% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 52.2% |
| Calm | 47% |
| Happy | 45.5% |
| Confused | 45.4% |
| Sad | 49.6% |
| Angry | 46.5% |
| Surprised | 45.5% |
| Disgusted | 45.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 50.4% |
| Sad | 50.4% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Angry | 49.5% |
| Disgusted | 49.5% |
| Calm | 49.5% |
AWS Rekognition
| Age | 38-57 |
| Gender | Female, 52.9% |
| Angry | 45.5% |
| Disgusted | 45.5% |
| Calm | 48% |
| Surprised | 45.6% |
| Happy | 45.3% |
| Sad | 49.4% |
| Confused | 45.7% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 50.3% |
| Sad | 49.9% |
| Confused | 49.6% |
| Calm | 49.6% |
| Disgusted | 49.6% |
| Angry | 49.6% |
| Surprised | 49.6% |
| Happy | 49.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 53.2% |
| Confused | 45.5% |
| Sad | 45.7% |
| Disgusted | 45.1% |
| Angry | 45.1% |
| Happy | 46.4% |
| Calm | 51.9% |
| Surprised | 45.3% |
Microsoft Cognitive Services
| Age | 41 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 18 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 23 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 13 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 8 |
| Gender | Female |
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 |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | 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 |
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 |
Feature analysis
Categories
Imagga
| streetview architecture | 66.6% | |
| events parties | 11.3% | |
| interior objects | 10.7% | |
| paintings art | 5.7% | |
| cars vehicles | 1.5% | |
| text visuals | 1.1% | |
| nature landscape | 1.1% | |
| food drinks | 1.1% | |
Captions
Microsoft
created on 2019-06-06
| a group of people posing for a photo | 97.5% | |
| a group of people posing for the camera | 97.4% | |
| a group of people posing for a picture | 97.3% | |
Text analysis
Amazon
