Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 4-9 |
| Gender | Male, 76.9% |
| Disgusted | 2.7% |
| Confused | 11.6% |
| Angry | 7.7% |
| Happy | 7.5% |
| Calm | 30.8% |
| Surprised | 6.9% |
| Sad | 32.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 75.1% |
| Calm | 17.2% |
| Sad | 42.8% |
| Happy | 13.6% |
| Angry | 7.7% |
| Disgusted | 10% |
| Confused | 3.9% |
| Surprised | 4.7% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 96.5% |
| Happy | 37.7% |
| Angry | 10.2% |
| Disgusted | 5.4% |
| Confused | 5.7% |
| Sad | 15.9% |
| Calm | 23.6% |
| Surprised | 1.3% |
AWS Rekognition
| Age | 9-14 |
| Gender | Male, 76.1% |
| Surprised | 2.4% |
| Happy | 6.6% |
| Sad | 41.7% |
| Calm | 38.7% |
| Confused | 2.7% |
| Disgusted | 0.8% |
| Angry | 7.1% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 77.4% |
| Calm | 6.7% |
| Surprised | 3.1% |
| Disgusted | 11.2% |
| Confused | 15.8% |
| Happy | 14.5% |
| Angry | 6.4% |
| Sad | 42.5% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 64.7% |
| Calm | 25.3% |
| Angry | 4.1% |
| Confused | 2.2% |
| Sad | 57.2% |
| Happy | 1.3% |
| Disgusted | 8.9% |
| Surprised | 1% |
AWS Rekognition
| Age | 57-77 |
| Gender | Female, 77.8% |
| Surprised | 0.6% |
| Happy | 1.8% |
| Sad | 71.1% |
| Calm | 0.6% |
| Confused | 1% |
| Disgusted | 21.8% |
| Angry | 3.1% |
Microsoft Cognitive Services
| Age | 50 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 15 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 17 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 25 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 2 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 31 |
| 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 | Very likely |
| Headwear | Likely |
| 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 |
Feature analysis
Categories
Imagga
| people portraits | 99.2% | |
Captions
Microsoft
created on 2019-06-05
Text analysis
Amazon
