Machine Generated Data
Tags
Amazon
created on 2022-03-05
| Person | 98.4 | |
|
| ||
| Human | 98.4 | |
|
| ||
| Wheel | 95.7 | |
|
| ||
| Machine | 95.7 | |
|
| ||
| Person | 94.5 | |
|
| ||
| Wheel | 94.1 | |
|
| ||
| Vehicle | 91.7 | |
|
| ||
| Transportation | 91.7 | |
|
| ||
| Bike | 88.7 | |
|
| ||
| Cyclist | 84 | |
|
| ||
| Sport | 84 | |
|
| ||
| Sports | 84 | |
|
| ||
| Metropolis | 83.9 | |
|
| ||
| Urban | 83.9 | |
|
| ||
| Building | 83.9 | |
|
| ||
| City | 83.9 | |
|
| ||
| Town | 83.9 | |
|
| ||
| Tarmac | 80.5 | |
|
| ||
| Asphalt | 80.5 | |
|
| ||
| Person | 79.5 | |
|
| ||
| Person | 78.8 | |
|
| ||
| Person | 77 | |
|
| ||
| Pedestrian | 73.6 | |
|
| ||
| Horse | 71.8 | |
|
| ||
| Animal | 71.8 | |
|
| ||
| Mammal | 71.8 | |
|
| ||
| Spoke | 60.6 | |
|
| ||
| Condo | 59.1 | |
|
| ||
| Housing | 59.1 | |
|
| ||
| Intersection | 56.5 | |
|
| ||
| Road | 56.5 | |
|
| ||
| Overcoat | 56.3 | |
|
| ||
| Clothing | 56.3 | |
|
| ||
| Coat | 56.3 | |
|
| ||
| Apparel | 56.3 | |
|
| ||
| People | 55.6 | |
|
| ||
| Bicycle | 51.3 | |
|
| ||
| Person | 45.3 | |
|
| ||
Clarifai
created on 2023-10-29
| people | 99.9 | |
|
| ||
| group together | 99.6 | |
|
| ||
| carriage | 99.6 | |
|
| ||
| transportation system | 99.3 | |
|
| ||
| cavalry | 99 | |
|
| ||
| street | 98.9 | |
|
| ||
| many | 98.8 | |
|
| ||
| vehicle | 98.7 | |
|
| ||
| group | 98.5 | |
|
| ||
| wagon | 98.2 | |
|
| ||
| driver | 97.5 | |
|
| ||
| man | 95.6 | |
|
| ||
| cart | 93.7 | |
|
| ||
| adult | 93.1 | |
|
| ||
| stagecoach | 91.4 | |
|
| ||
| monochrome | 90.7 | |
|
| ||
| road | 89.7 | |
|
| ||
| several | 89.5 | |
|
| ||
| car | 87.1 | |
|
| ||
| woman | 83.4 | |
|
| ||
Imagga
created on 2022-03-05
| city | 33.3 | |
|
| ||
| travel | 29.6 | |
|
| ||
| architecture | 29.5 | |
|
| ||
| road | 28.9 | |
|
| ||
| car | 27.7 | |
|
| ||
| building | 26 | |
|
| ||
| urban | 24.5 | |
|
| ||
| transportation | 24.2 | |
|
| ||
| sky | 23 | |
|
| ||
| street | 22.1 | |
|
| ||
| structure | 19.2 | |
|
| ||
| vehicle | 18.2 | |
|
| ||
| stage | 17.6 | |
|
| ||
| transport | 17.3 | |
|
| ||
| house | 17.1 | |
|
| ||
| highway | 16.4 | |
|
| ||
| wheeled vehicle | 16.2 | |
|
| ||
| traffic | 16.1 | |
|
| ||
| night | 16 | |
|
| ||
| freight car | 15.9 | |
|
| ||
| winter | 15.3 | |
|
| ||
| snow | 15.2 | |
|
| ||
| platform | 14.6 | |
|
| ||
| billboard | 13.8 | |
|
| ||
| drive | 12.4 | |
|
| ||
| tourism | 12.4 | |
|
| ||
| speed | 11.9 | |
|
| ||
| landscape | 11.9 | |
|
| ||
| asphalt | 11.7 | |
|
| ||
| center | 11.4 | |
|
| ||
| station | 11.4 | |
|
| ||
| light | 11.4 | |
|
| ||
| bridge | 11.3 | |
|
| ||
| business | 10.9 | |
|
| ||
| tower | 10.7 | |
|
| ||
| river | 10.7 | |
|
| ||
| signboard | 10.6 | |
|
| ||
| automobile | 10.5 | |
|
| ||
| buildings | 10.4 | |
|
| ||
| construction | 10.3 | |
|
| ||
| lights | 10.2 | |
|
| ||
| exterior | 10.1 | |
|
| ||
| landmark | 9.9 | |
|
| ||
| old | 9.8 | |
|
| ||
| downtown | 9.6 | |
|
| ||
| office | 9.6 | |
|
| ||
| journey | 9.4 | |
|
| ||
| town | 9.3 | |
|
| ||
| tree | 9.2 | |
|
| ||
| equipment | 9.1 | |
|
| ||
| horizon | 9 | |
|
| ||
| expressway | 9 | |
|
| ||
| history | 8.9 | |
|
| ||
| new | 8.9 | |
|
| ||
| cars | 8.8 | |
|
| ||
| truck | 8.6 | |
|
| ||
| cityscape | 8.5 | |
|
| ||
| clouds | 8.4 | |
|
| ||
| destination | 8.4 | |
|
| ||
| outdoor | 8.4 | |
|
| ||
| trees | 8 | |
|
| ||
| train | 8 | |
|
| ||
| freeway | 7.9 | |
|
| ||
| scene | 7.8 | |
|
| ||
| cloud | 7.7 | |
|
| ||
| motion | 7.7 | |
|
| ||
| direction | 7.6 | |
|
| ||
| path | 7.6 | |
|
| ||
| sign | 7.5 | |
|
| ||
| fast | 7.5 | |
|
| ||
| outdoors | 7.5 | |
|
| ||
| famous | 7.4 | |
|
| ||
| vacation | 7.4 | |
|
| ||
| water | 7.3 | |
|
| ||
| electronic equipment | 7.3 | |
|
| ||
| colorful | 7.2 | |
|
| ||
| modern | 7 | |
|
| ||
Google
created on 2022-03-05
| Building | 94.8 | |
|
| ||
| Black | 89.7 | |
|
| ||
| Motor vehicle | 88.9 | |
|
| ||
| Wheel | 88.6 | |
|
| ||
| Tire | 87.1 | |
|
| ||
| Window | 86.9 | |
|
| ||
| Black-and-white | 84.9 | |
|
| ||
| Style | 83.9 | |
|
| ||
| Font | 83.9 | |
|
| ||
| Art | 81.7 | |
|
| ||
| Asphalt | 80.6 | |
|
| ||
| Vehicle | 80.3 | |
|
| ||
| Rectangle | 79.1 | |
|
| ||
| Monochrome | 76 | |
|
| ||
| Road | 75.2 | |
|
| ||
| Monochrome photography | 75 | |
|
| ||
| Urban design | 72.1 | |
|
| ||
| Facade | 69.9 | |
|
| ||
| Street | 66.5 | |
|
| ||
| Crowd | 66.4 | |
|
| ||
Microsoft
created on 2022-03-05
| road | 99.9 | |
|
| ||
| outdoor | 98 | |
|
| ||
| text | 97 | |
|
| ||
| bicycle | 93.3 | |
|
| ||
| black and white | 90.9 | |
|
| ||
| street | 81.4 | |
|
| ||
| land vehicle | 53.2 | |
|
| ||
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 76.2% |
| Calm | 87.7% |
| Happy | 5.4% |
| Sad | 3.1% |
| Surprised | 1.3% |
| Confused | 0.8% |
| Disgusted | 0.7% |
| Angry | 0.7% |
| Fear | 0.4% |
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 70.8% |
| Happy | 35.7% |
| Calm | 35.7% |
| Angry | 15.2% |
| Sad | 4.3% |
| Surprised | 3.5% |
| Disgusted | 3% |
| Confused | 1.7% |
| Fear | 0.8% |
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 98.8% |
| Calm | 96.4% |
| Happy | 1.6% |
| Sad | 0.9% |
| Fear | 0.5% |
| Surprised | 0.2% |
| Confused | 0.2% |
| Angry | 0.2% |
| Disgusted | 0.1% |
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 98.3% |
| Sad | 64.5% |
| Calm | 15.5% |
| Angry | 9.8% |
| Happy | 5.7% |
| Fear | 2.4% |
| Disgusted | 1.1% |
| Surprised | 0.8% |
| Confused | 0.2% |
Feature analysis
Categories
Imagga
| streetview architecture | 98.5% | |
|
| ||
| nature landscape | 1% | |
|
| ||
Captions
Microsoft
created on 2022-03-05
| a close up of a horse drawn carriage in front of a building | 73.9% | |
|
| ||
| a group of people standing in front of a building | 73.8% | |
|
| ||
| a group of people walking in front of a building | 73.7% | |
|
| ||
Text analysis
Amazon
Antiques
ED
NK
ED KRUSE
KRUSE
Lomas
Las Lomas
Las
NATIONAL
FIRST
le
le Ministry
Ministry
FIR
ED KRUSE
Los Lonmas
Antiques
FIR
ED
KRUSE
Los
Lonmas
Antiques
