Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 59.8% |
| Sad | 81.9% |
| Angry | 3.6% |
| Calm | 8.2% |
| Disgusted | 4.2% |
| Surprised | 0.6% |
| Happy | 0.6% |
| Confused | 1% |
AWS Rekognition
| Age | 27-44 |
| Gender | Male, 54.6% |
| Sad | 48.8% |
| Angry | 45.5% |
| Calm | 48.9% |
| Surprised | 45.2% |
| Confused | 45.7% |
| Happy | 45.6% |
| Disgusted | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 99% |
| Calm | 64% |
| Confused | 5.2% |
| Angry | 2.8% |
| Sad | 25.2% |
| Surprised | 0.7% |
| Disgusted | 1.1% |
| Happy | 1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 99% |
| Sad | 16.7% |
| Confused | 5.1% |
| Calm | 36.5% |
| Disgusted | 5.5% |
| Happy | 2% |
| Surprised | 5.8% |
| Angry | 28.4% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 95% |
| Angry | 3.8% |
| Disgusted | 3.1% |
| Confused | 6.5% |
| Calm | 59.9% |
| Surprised | 4.8% |
| Sad | 3.7% |
| Happy | 18.2% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 93.4% |
| Confused | 4.2% |
| Disgusted | 37.3% |
| Happy | 2.1% |
| Calm | 19.4% |
| Sad | 7.4% |
| Angry | 26% |
| Surprised | 3.7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 99.4% |
| Disgusted | 6% |
| Calm | 60.2% |
| Angry | 3.8% |
| Sad | 22.2% |
| Happy | 1% |
| Confused | 5.1% |
| Surprised | 1.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.6% |
| Disgusted | 45.1% |
| Angry | 45.4% |
| Confused | 45.3% |
| Sad | 53% |
| Calm | 45.7% |
| Happy | 45.4% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 54.5% |
| Happy | 52.2% |
| Surprised | 45.2% |
| Confused | 45.2% |
| Calm | 45.6% |
| Angry | 45.4% |
| Disgusted | 45.2% |
| Sad | 46% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 74.9% |
| Surprised | 0.8% |
| Angry | 0.3% |
| Confused | 0.3% |
| Calm | 97.4% |
| Sad | 0.4% |
| Happy | 0.6% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.7% |
| Disgusted | 45.1% |
| Sad | 51.1% |
| Confused | 45.4% |
| Angry | 45.4% |
| Calm | 47% |
| Happy | 45.7% |
| Surprised | 45.2% |
Microsoft Cognitive Services
| Age | 28 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 28 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 36 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 32 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 10 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 47 |
| Gender | Male |
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 likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| people portraits | 57.7% | |
| paintings art | 33.8% | |
| food drinks | 2.4% | |
| pets animals | 2.3% | |
| nature landscape | 1.4% | |
Captions
Microsoft
created on 2019-03-22
| a group of people riding on the back of a boat | 91.2% | |
| a group of people riding on the back of a boat in the water | 88% | |
| a group of people on a boat | 87.9% | |