Machine Generated Data
Tags
Amazon
created on 2019-11-15
| Tarmac | 100 | |
|
| ||
| Asphalt | 100 | |
|
| ||
| Road | 99.9 | |
|
| ||
| Transportation | 99 | |
|
| ||
| Vehicle | 99 | |
|
| ||
| Automobile | 99 | |
|
| ||
| Car | 99 | |
|
| ||
| Car | 98.4 | |
|
| ||
| Traffic Light | 96.4 | |
|
| ||
| Light | 96.4 | |
|
| ||
| Car | 95.2 | |
|
| ||
| Zebra Crossing | 95.1 | |
|
| ||
| Intersection | 86.2 | |
|
| ||
| Human | 77.6 | |
|
| ||
| Person | 77.6 | |
|
| ||
| Wheel | 62.5 | |
|
| ||
| Machine | 62.5 | |
|
| ||
| Urban | 62.5 | |
|
| ||
| Person | 60.9 | |
|
| ||
| Pedestrian | 59 | |
|
| ||
| Person | 57.3 | |
|
| ||
| Car | 55 | |
|
| ||
Clarifai
created on 2019-11-15
| people | 99.6 | |
|
| ||
| group together | 99.3 | |
|
| ||
| street | 98.5 | |
|
| ||
| group | 98.3 | |
|
| ||
| vehicle | 97.7 | |
|
| ||
| monochrome | 97.3 | |
|
| ||
| many | 96.4 | |
|
| ||
| adult | 93.7 | |
|
| ||
| transportation system | 92.4 | |
|
| ||
| two | 89.6 | |
|
| ||
| man | 89.5 | |
|
| ||
| road | 89 | |
|
| ||
| no person | 88.6 | |
|
| ||
| city | 87.9 | |
|
| ||
| recreation | 85.6 | |
|
| ||
| crowd | 84.6 | |
|
| ||
| several | 84.2 | |
|
| ||
| tree | 82.4 | |
|
| ||
| one | 82.3 | |
|
| ||
| administration | 81.8 | |
|
| ||
Imagga
created on 2019-11-15
| intersection | 100 | |
|
| ||
| sky | 25.5 | |
|
| ||
| street | 23 | |
|
| ||
| city | 20 | |
|
| ||
| urban | 19.2 | |
|
| ||
| road | 19 | |
|
| ||
| landscape | 17.1 | |
|
| ||
| travel | 15.5 | |
|
| ||
| building | 15.4 | |
|
| ||
| transportation | 15.2 | |
|
| ||
| tree | 15 | |
|
| ||
| transport | 14.6 | |
|
| ||
| architecture | 14.1 | |
|
| ||
| vehicle | 14 | |
|
| ||
| car | 13.8 | |
|
| ||
| industry | 13.7 | |
|
| ||
| winter | 12.8 | |
|
| ||
| outdoor | 12.2 | |
|
| ||
| construction | 12 | |
|
| ||
| house | 11.7 | |
|
| ||
| tower | 11.6 | |
|
| ||
| summer | 11.6 | |
|
| ||
| trees | 11.6 | |
|
| ||
| semaphore | 11.4 | |
|
| ||
| snow | 11.1 | |
|
| ||
| grass | 11.1 | |
|
| ||
| light | 10.7 | |
|
| ||
| park | 10.7 | |
|
| ||
| old | 10.5 | |
|
| ||
| town | 10.2 | |
|
| ||
| power | 10.1 | |
|
| ||
| industrial | 10 | |
|
| ||
| tourism | 9.9 | |
|
| ||
| wire | 9.9 | |
|
| ||
| black | 9.6 | |
|
| ||
| equipment | 9.6 | |
|
| ||
| cold | 9.5 | |
|
| ||
| clouds | 9.3 | |
|
| ||
| structure | 9.2 | |
|
| ||
| field | 9.2 | |
|
| ||
| wheeled vehicle | 9.1 | |
|
| ||
| truck | 9 | |
|
| ||
| conveyance | 8.9 | |
|
| ||
| lamp | 8.8 | |
|
| ||
| scene | 8.7 | |
|
| ||
| machine | 8.6 | |
|
| ||
| chairlift | 8.4 | |
|
| ||
| dark | 8.4 | |
|
| ||
| outdoors | 8.3 | |
|
| ||
| silhouette | 8.3 | |
|
| ||
| sign | 8.3 | |
|
| ||
| sidewalk | 8.2 | |
|
| ||
| day | 7.8 | |
|
| ||
| destruction | 7.8 | |
|
| ||
| automobile | 7.7 | |
|
| ||
| traffic | 7.6 | |
|
| ||
| cityscape | 7.6 | |
|
| ||
| apparatus | 7.6 | |
|
| ||
| symbol | 7.4 | |
|
| ||
| vacation | 7.4 | |
|
| ||
| water | 7.3 | |
|
| ||
| color | 7.2 | |
|
| ||
| horizon | 7.2 | |
|
| ||
| sunset | 7.2 | |
|
| ||
| history | 7.2 | |
|
| ||
| night | 7.1 | |
|
| ||
| track | 7 | |
|
| ||
| season | 7 | |
|
| ||
Google
created on 2019-11-15
| Motor vehicle | 98.2 | |
|
| ||
| Vehicle | 85.5 | |
|
| ||
| Snapshot | 84.9 | |
|
| ||
| Car | 83.7 | |
|
| ||
| Street | 80.2 | |
|
| ||
| Neighbourhood | 77.6 | |
|
| ||
| Monochrome | 77.2 | |
|
| ||
| Urban area | 75 | |
|
| ||
| Tree | 74.7 | |
|
| ||
| Black-and-white | 74.4 | |
|
| ||
| Auto part | 61.2 | |
|
| ||
| Residential area | 60 | |
|
| ||
| Road | 58.5 | |
|
| ||
| Classic | 56.7 | |
|
| ||
| House | 53.7 | |
|
| ||
| Family car | 51.5 | |
|
| ||
| Traffic | 51.4 | |
|
| ||
| City | 51.3 | |
|
| ||
| Style | 51 | |
|
| ||
| Vintage car | 50.6 | |
|
| ||
Microsoft
created on 2019-11-15
| outdoor | 100 | |
|
| ||
| road | 99.9 | |
|
| ||
| tree | 99.8 | |
|
| ||
| sky | 98.8 | |
|
| ||
| black and white | 97.1 | |
|
| ||
| vehicle | 93.4 | |
|
| ||
| land vehicle | 93.4 | |
|
| ||
| street | 92 | |
|
| ||
| car | 84.1 | |
|
| ||
| text | 83.9 | |
|
| ||
| wheel | 83.2 | |
|
| ||
| monochrome | 72 | |
|
| ||
| light | 57.7 | |
|
| ||
| city | 52.6 | |
|
| ||
| way | 51.3 | |
|
| ||
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 19-31 |
| Gender | Male, 50.1% |
| Happy | 49.5% |
| Angry | 49.5% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Sad | 50.2% |
| Fear | 49.5% |
| Calm | 49.7% |
| Confused | 49.5% |
AWS Rekognition
| Age | 16-28 |
| Gender | Female, 50% |
| Disgusted | 49.5% |
| Fear | 49.7% |
| Confused | 49.5% |
| Angry | 49.6% |
| Calm | 49.6% |
| Surprised | 49.6% |
| Sad | 49.9% |
| Happy | 49.6% |
Feature analysis
Categories
Imagga
| streetview architecture | 53.2% | |
|
| ||
| nature landscape | 23.9% | |
|
| ||
| cars vehicles | 19.6% | |
|
| ||
| beaches seaside | 2.1% | |
|
| ||
Captions
Microsoft
created on 2019-11-15
| a close up of a busy city street | 97.6% | |
|
| ||
| a traffic light on a city street | 92.9% | |
|
| ||
| close up of a busy city street | 92.8% | |
|
| ||
Text analysis
Amazon
INSURGENTEST
INSURGENTES
INSURGENTES