Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 99.4% |
| Sad | 0.4% |
| Angry | 1.9% |
| Calm | 0.4% |
| Surprised | 1.5% |
| Happy | 94.4% |
| Confused | 0.7% |
| Disgusted | 0.7% |
AWS Rekognition
| Age | 60-90 |
| Gender | Male, 93.9% |
| Disgusted | 8.3% |
| Confused | 15.9% |
| Surprised | 16.5% |
| Angry | 13.1% |
| Happy | 35.4% |
| Sad | 5.8% |
| Calm | 5.1% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 94% |
| Sad | 4% |
| Disgusted | 37.7% |
| Happy | 43.4% |
| Calm | 2.9% |
| Angry | 2.8% |
| Confused | 3.5% |
| Surprised | 5.7% |
AWS Rekognition
| Age | 35-55 |
| Gender | Male, 96.1% |
| Sad | 35.9% |
| Calm | 35.2% |
| Disgusted | 4.4% |
| Happy | 8% |
| Angry | 5% |
| Surprised | 2.8% |
| Confused | 8.8% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 99.5% |
| Sad | 6.4% |
| Angry | 2.5% |
| Surprised | 1.3% |
| Happy | 0.7% |
| Calm | 81.4% |
| Confused | 6.6% |
| Disgusted | 1.2% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 80.7% |
| Happy | 2.6% |
| Sad | 1.1% |
| Angry | 2.2% |
| Disgusted | 5.8% |
| Surprised | 0.8% |
| Calm | 86.7% |
| Confused | 0.9% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 53.7% |
| Surprised | 7.8% |
| Angry | 6.7% |
| Sad | 30.1% |
| Calm | 19.9% |
| Happy | 9.3% |
| Confused | 9.6% |
| Disgusted | 16.7% |
Microsoft Cognitive Services
| Age | 44 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 59 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 69 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 53 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 59 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| Blurred | Very unlikely |
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 |
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 likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 70.9% | |
| people portraits | 24.5% | |
| pets animals | 1.7% | |
| streetview architecture | 1.7% | |
Captions
Microsoft
created on 2019-03-25
| Charles Rudolph Walgreen et al. posing for a photo | 99.4% | |
| Charles Rudolph Walgreen et al. posing for the camera | 99.3% | |
| Charles Rudolph Walgreen et al. posing for a picture | 99.2% | |
Text analysis
Amazon
