Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 45-63 |
| Gender | Male, 69.2% |
| Confused | 0.3% |
| Angry | 0.7% |
| Disgusted | 0.2% |
| Sad | 2.2% |
| Happy | 0.3% |
| Calm | 95.8% |
| Surprised | 0.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 55% |
| Happy | 45.4% |
| Calm | 49% |
| Angry | 46.6% |
| Sad | 47.6% |
| Confused | 45.4% |
| Disgusted | 45.5% |
| Surprised | 45.4% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 94.4% |
| Disgusted | 1% |
| Confused | 1.2% |
| Sad | 32.3% |
| Calm | 4.8% |
| Happy | 0.3% |
| Angry | 59.8% |
| Surprised | 0.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 99.1% |
| Surprised | 1% |
| Sad | 14.1% |
| Happy | 1% |
| Disgusted | 1.1% |
| Calm | 70.7% |
| Angry | 10% |
| Confused | 2.1% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 54.9% |
| Happy | 53.6% |
| Surprised | 45.1% |
| Sad | 46.1% |
| Disgusted | 45% |
| Angry | 45.1% |
| Calm | 45.1% |
| Confused | 45.1% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 99.4% |
| Surprised | 2.5% |
| Happy | 0.9% |
| Sad | 3.1% |
| Confused | 2% |
| Disgusted | 0.2% |
| Angry | 1.7% |
| Calm | 89.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 50.8% |
| Surprised | 45.3% |
| Confused | 45.5% |
| Disgusted | 45.2% |
| Angry | 45.8% |
| Sad | 46% |
| Calm | 52.1% |
| Happy | 45.1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 64.6% |
| Confused | 2.4% |
| Happy | 0.9% |
| Surprised | 1.7% |
| Calm | 21.8% |
| Disgusted | 0.4% |
| Sad | 70.5% |
| Angry | 2.4% |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 16 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 36 |
| Gender | Male |
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 |
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 |
Feature analysis
Amazon
| Person | 99.5% | |
| Sunglasses | 76.5% | |
Categories
Imagga
| paintings art | 97.6% | |
| people portraits | 1.4% | |
| streetview architecture | 0.4% | |
| interior objects | 0.4% | |
| pets animals | 0.1% | |
| nature landscape | 0.1% | |
Captions
Microsoft
created on 2018-03-22
| a group of people sitting on a bench | 92.1% | |
| a group of people sitting at a bench | 91.5% | |
| a group of people that are sitting on a bench | 85.9% | |