Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Human | 98 | |
|
| ||
| Person | 98 | |
|
| ||
| Person | 97.2 | |
|
| ||
| Person | 95.5 | |
|
| ||
| Person | 93.9 | |
|
| ||
| Person | 91.8 | |
|
| ||
| Person | 89.6 | |
|
| ||
| Military | 89.3 | |
|
| ||
| Vehicle | 87 | |
|
| ||
| Transportation | 87 | |
|
| ||
| Vessel | 87 | |
|
| ||
| Watercraft | 87 | |
|
| ||
| People | 81.1 | |
|
| ||
| Person | 81 | |
|
| ||
| Person | 77 | |
|
| ||
| Person | 75.3 | |
|
| ||
| Weapon | 70.1 | |
|
| ||
| Weaponry | 70.1 | |
|
| ||
| Military Uniform | 69 | |
|
| ||
| Soldier | 69 | |
|
| ||
| Clothing | 66 | |
|
| ||
| Apparel | 66 | |
|
| ||
| Navy | 61.2 | |
|
| ||
| Cruiser | 59.3 | |
|
| ||
| Ship | 59.3 | |
|
| ||
| Boat | 58.5 | |
|
| ||
Clarifai
created on 2019-05-29
| people | 99.8 | |
|
| ||
| watercraft | 99.7 | |
|
| ||
| vehicle | 99.2 | |
|
| ||
| adult | 98.8 | |
|
| ||
| group together | 98.8 | |
|
| ||
| group | 98.5 | |
|
| ||
| transportation system | 96.2 | |
|
| ||
| man | 95.7 | |
|
| ||
| many | 95.5 | |
|
| ||
| water | 94.4 | |
|
| ||
| river | 91.1 | |
|
| ||
| sea | 90.5 | |
|
| ||
| beach | 90.5 | |
|
| ||
| woman | 90.1 | |
|
| ||
| recreation | 89.2 | |
|
| ||
| rowboat | 88.1 | |
|
| ||
| military | 86.3 | |
|
| ||
| boatman | 86.3 | |
|
| ||
| seashore | 85.8 | |
|
| ||
| athlete | 85.3 | |
|
| ||
Imagga
created on 2019-05-29
Google
created on 2019-05-29
| Photograph | 94.8 | |
|
| ||
| Black-and-white | 87.2 | |
|
| ||
| Monochrome | 75.8 | |
|
| ||
| Photography | 75.7 | |
|
| ||
| Sea | 71.4 | |
|
| ||
| Monochrome photography | 69.6 | |
|
| ||
| Vehicle | 68.3 | |
|
| ||
| City | 59.6 | |
|
| ||
| Stock photography | 59.4 | |
|
| ||
| Style | 52.5 | |
|
| ||
| Boat | 52 | |
|
| ||
| Tourism | 51.1 | |
|
| ||
Microsoft
created on 2019-05-29
| sky | 99.8 | |
|
| ||
| water | 99.3 | |
|
| ||
| outdoor | 99.1 | |
|
| ||
| boat | 96 | |
|
| ||
| black and white | 95 | |
|
| ||
| watercraft | 79.4 | |
|
| ||
| person | 74.9 | |
|
| ||
| ship | 72.4 | |
|
| ||
| man | 66 | |
|
| ||
| people | 64.2 | |
|
| ||
| river | 63.3 | |
|
| ||
| monochrome | 62.1 | |
|
| ||
| lake | 60.1 | |
|
| ||
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 54.4% |
| Happy | 45.1% |
| Confused | 45.1% |
| Disgusted | 45.1% |
| Surprised | 45.3% |
| Sad | 45.4% |
| Angry | 45.1% |
| Calm | 53.9% |
AWS Rekognition
| Age | 9-14 |
| Gender | Male, 54.6% |
| Angry | 46.4% |
| Confused | 46% |
| Happy | 45.3% |
| Calm | 48% |
| Surprised | 45.7% |
| Sad | 48.1% |
| Disgusted | 45.5% |
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 52.3% |
| Sad | 45.5% |
| Happy | 45.2% |
| Disgusted | 45.2% |
| Surprised | 45.2% |
| Calm | 53.5% |
| Angry | 45.2% |
| Confused | 45.1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.4% |
| Confused | 49.6% |
| Happy | 49.6% |
| Surprised | 49.5% |
| Calm | 50.1% |
| Sad | 49.7% |
| Angry | 49.5% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 50.1% |
| Angry | 49.5% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Calm | 49.5% |
| Sad | 50.4% |
Feature analysis
Categories
Imagga
| nature landscape | 49.1% | |
|
| ||
| beaches seaside | 30.7% | |
|
| ||
| cars vehicles | 5.8% | |
|
| ||
| food drinks | 5.2% | |
|
| ||
| sunrises sunsets | 2.1% | |
|
| ||
| streetview architecture | 2% | |
|
| ||
| people portraits | 1.5% | |
|
| ||
| events parties | 1.3% | |
|
| ||
Captions
Microsoft
created on 2019-05-29
| a group of people sitting in a boat on a body of water | 95.3% | |
|
| ||
| a group of people in a boat on a body of water | 95.2% | |
|
| ||
| a group of people on a boat in a body of water | 95.1% | |
|
| ||
