Machine Generated Data
Tags
Amazon
created on 2023-10-07
Machine | 99.5 | |
| ||
Spoke | 99.5 | |
| ||
Person | 99.1 | |
| ||
Person | 98.8 | |
| ||
Person | 98.7 | |
| ||
Person | 98.7 | |
| ||
Person | 98.5 | |
| ||
City | 98.3 | |
| ||
Road | 98.3 | |
| ||
Street | 98.3 | |
| ||
Urban | 98.3 | |
| ||
Motorcycle | 97.9 | |
| ||
Transportation | 97.9 | |
| ||
Vehicle | 97.9 | |
| ||
Person | 97.9 | |
| ||
Person | 97.8 | |
| ||
Adult | 97.8 | |
| ||
Male | 97.8 | |
| ||
Man | 97.8 | |
| ||
Wheel | 96.4 | |
| ||
Clothing | 96.1 | |
| ||
Coat | 96.1 | |
| ||
Person | 95.8 | |
| ||
Person | 89.2 | |
| ||
Person | 88.7 | |
| ||
Wheel | 87.5 | |
| ||
Motor | 86.4 | |
| ||
Footwear | 85.4 | |
| ||
Shoe | 85.4 | |
| ||
Hat | 84 | |
| ||
Hat | 82 | |
| ||
Hat | 76.4 | |
| ||
Railway | 66.8 | |
| ||
Train | 63 | |
| ||
Person | 60.2 | |
| ||
Alloy Wheel | 57.8 | |
| ||
Car | 57.8 | |
| ||
Car Wheel | 57.8 | |
| ||
Tire | 57.8 | |
| ||
Hat | 57.4 | |
| ||
Bicycle | 57.3 | |
| ||
Cycling | 57.3 | |
| ||
Sport | 57.3 | |
| ||
Terminal | 57.2 | |
| ||
Train Station | 57.2 | |
| ||
Hat | 57 | |
| ||
Outdoors | 56.9 | |
| ||
Path | 55.9 | |
| ||
Sidewalk | 55.9 | |
| ||
Architecture | 55.4 | |
| ||
Building | 55.4 | |
| ||
Shelter | 55.4 | |
| ||
Engine | 55.2 | |
| ||
Overcoat | 55.1 | |
|
Clarifai
created on 2018-05-11
Imagga
created on 2023-10-07
jinrikisha | 81.7 | |
| ||
cart | 67.7 | |
| ||
wagon | 50.1 | |
| ||
seller | 43.8 | |
| ||
wheeled vehicle | 37.6 | |
| ||
vehicle | 34.2 | |
| ||
street | 30.4 | |
| ||
snow | 24.7 | |
| ||
transportation | 23.3 | |
| ||
road | 20.8 | |
| ||
wheelchair | 19.1 | |
| ||
city | 18.3 | |
| ||
old | 15.3 | |
| ||
wheel | 15.2 | |
| ||
outdoors | 14.9 | |
| ||
building | 14.3 | |
| ||
travel | 14.1 | |
| ||
chair | 14 | |
| ||
winter | 13.6 | |
| ||
car | 13.4 | |
| ||
architecture | 13.3 | |
| ||
urban | 13.1 | |
| ||
drive | 12.3 | |
| ||
cold | 12.1 | |
| ||
sidewalk | 11.9 | |
| ||
transport | 11.9 | |
| ||
carriage | 11.5 | |
| ||
machine | 11.1 | |
| ||
traffic | 10.4 | |
| ||
landscape | 10.4 | |
| ||
people | 10 | |
| ||
brick | 9.4 | |
| ||
outside | 9.4 | |
| ||
construction | 9.4 | |
| ||
man | 9.4 | |
| ||
industry | 9.4 | |
| ||
town | 9.3 | |
| ||
industrial | 9.1 | |
| ||
truck | 8.9 | |
| ||
cars | 8.8 | |
| ||
wheels | 8.8 | |
| ||
support | 8.7 | |
| ||
scene | 8.7 | |
| ||
weather | 8.5 | |
| ||
outdoor | 8.4 | |
| ||
help | 8.4 | |
| ||
care | 8.2 | |
| ||
equipment | 8.2 | |
| ||
light | 8 | |
| ||
mobility | 7.8 | |
| ||
tree | 7.7 | |
| ||
sky | 7.7 | |
| ||
lamp | 7.6 | |
| ||
seat | 7.6 | |
| ||
park | 7.4 | |
| ||
ice | 7.4 | |
| ||
day | 7.1 | |
|
Google
created on 2018-05-11
car | 97.7 | |
| ||
motor vehicle | 97.6 | |
| ||
black and white | 89.4 | |
| ||
transport | 89.2 | |
| ||
mode of transport | 87.5 | |
| ||
vehicle | 85 | |
| ||
monochrome photography | 74.6 | |
| ||
street | 61.9 | |
| ||
monochrome | 61.3 | |
| ||
history | 55.7 | |
| ||
asphalt | 55.5 | |
| ||
wheel | 54.3 | |
| ||
road | 53.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 97.3% |
Happy | 56.3% |
Sad | 34.3% |
Fear | 10.8% |
Surprised | 7.4% |
Angry | 4.4% |
Calm | 2.6% |
Disgusted | 1.8% |
Confused | 0.9% |

AWS Rekognition
Age | 4-10 |
Gender | Male, 57.6% |
Angry | 93.2% |
Surprised | 6.3% |
Fear | 6% |
Sad | 3.7% |
Happy | 1.1% |
Calm | 0.8% |
Disgusted | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 95.1% |
Calm | 71% |
Happy | 14.1% |
Surprised | 7.7% |
Fear | 6.4% |
Disgusted | 5.7% |
Sad | 3.5% |
Angry | 1.3% |
Confused | 0.6% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 100% |
Calm | 28.9% |
Fear | 26% |
Confused | 13.5% |
Happy | 9.6% |
Sad | 9.4% |
Surprised | 7.9% |
Disgusted | 6.6% |
Angry | 2% |
Feature analysis
Amazon
Person
Motorcycle
Adult
Male
Man
Wheel
Shoe
Hat
Categories
Imagga
streetview architecture | 98.5% | |
|
Captions
Microsoft
created on 2018-05-11
a group of people standing around a motorcycle | 81.6% | |
| ||
a group of people riding on the back of a motorcycle | 69.5% | |
| ||
a group of people on a motorcycle | 69.4% | |
|
Text analysis
Amazon

HARRIGAN

OMAR

OMAR THEATRE

THEATRE

ROCK

SUN

OBRIEN

NOV

SUN MON

LOOK OUT

ROBERTAN

HARD

MON

fors

LOOK OUT FOR LOODMOTIVE

Tursday HARD ROCK

NOV y

Ocorgo

FOR LOODMOTIVE

y

МОР

Tursday

HARD ROCKCo
HARRIGAN OBRE

HARD

ROCKCo

HARRIGAN

OBRE