Machine Generated Data
Tags
Amazon
created on 2019-03-25
Clarifai
created on 2019-03-25
vehicle | 99.9 | |
| ||
car | 99.7 | |
| ||
people | 99.7 | |
| ||
transportation system | 99.1 | |
| ||
adult | 98.4 | |
| ||
one | 98.3 | |
| ||
monochrome | 95.6 | |
| ||
driver | 94.9 | |
| ||
man | 94.4 | |
| ||
two | 93.4 | |
| ||
street | 89.6 | |
| ||
convertible | 87.5 | |
| ||
woman | 87.1 | |
| ||
portrait | 83.5 | |
| ||
group together | 83.3 | |
| ||
drive | 81.5 | |
| ||
travel | 80.8 | |
| ||
chair | 80.5 | |
| ||
administration | 80 | |
| ||
wear | 79.2 | |
|
Imagga
created on 2019-03-25
car | 71 | |
| ||
seat | 43.7 | |
| ||
cockpit | 42.1 | |
| ||
device | 30.9 | |
| ||
support | 30.7 | |
| ||
transportation | 28.7 | |
| ||
motor vehicle | 28.1 | |
| ||
automobile | 24.9 | |
| ||
vehicle | 21.2 | |
| ||
auto | 21 | |
| ||
speed | 20.1 | |
| ||
road | 19 | |
| ||
wheel | 18.4 | |
| ||
transport | 18.3 | |
| ||
limousine | 18 | |
| ||
drive | 18 | |
| ||
street | 16.6 | |
| ||
sports | 14.8 | |
| ||
modern | 14.7 | |
| ||
black | 14.4 | |
| ||
fast | 14 | |
| ||
driving | 13.5 | |
| ||
travel | 13.4 | |
| ||
technology | 13.4 | |
| ||
light | 12.7 | |
| ||
motor | 12.6 | |
| ||
electric | 12 | |
| ||
luxury | 12 | |
| ||
motion | 12 | |
| ||
tire | 11.5 | |
| ||
sky | 11.5 | |
| ||
beach wagon | 10.6 | |
| ||
color | 10.6 | |
| ||
digital | 10.5 | |
| ||
race | 10.5 | |
| ||
old | 10.4 | |
| ||
traffic | 10.4 | |
| ||
business | 10.3 | |
| ||
city | 10 | |
| ||
wheeled vehicle | 9.6 | |
| ||
three dimensional | 9.3 | |
| ||
vintage | 9.1 | |
| ||
danger | 9.1 | |
| ||
sport | 9.1 | |
| ||
urban | 8.7 | |
| ||
engine | 8.7 | |
| ||
effects | 8.5 | |
| ||
building | 8.5 | |
| ||
design | 8.4 | |
| ||
people | 8.4 | |
| ||
bumper | 8.2 | |
| ||
one | 8.2 | |
| ||
style | 8.2 | |
| ||
racing | 7.8 | |
| ||
high | 7.8 | |
| ||
model | 7.8 | |
| ||
driver | 7.8 | |
| ||
elegant | 7.7 | |
| ||
outdoor | 7.6 | |
| ||
graphics | 7.6 | |
| ||
power | 7.6 | |
| ||
success | 7.2 | |
|
Google
created on 2019-03-25
Motor vehicle | 98 | |
| ||
Photograph | 96.8 | |
| ||
Vehicle | 91 | |
| ||
Classic | 90.3 | |
| ||
Car | 90.3 | |
| ||
Vehicle door | 89.5 | |
| ||
Snapshot | 86.5 | |
| ||
Photography | 73.8 | |
| ||
Vintage car | 72.1 | |
| ||
Classic car | 67.1 | |
| ||
Family car | 60.7 | |
|
Microsoft
created on 2019-03-25
black and white | 21.3 | |
| ||
street | 16 | |
| ||
monochrome | 12 | |
| ||
car | 5.7 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18832790/648,212,31,47/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 54% |
Confused | 45.3% |
Angry | 45.4% |
Surprised | 45.3% |
Happy | 45.4% |
Calm | 48.5% |
Disgusted | 45.2% |
Sad | 49.9% |
Feature analysis
Categories
Imagga
interior objects | 81.2% | |
| ||
cars vehicles | 4.4% | |
| ||
paintings art | 4.3% | |
| ||
text visuals | 3.5% | |
| ||
food drinks | 3.4% | |
| ||
streetview architecture | 2.1% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18832790/292,222,37,15/full/0/native.jpg)
CARS
![](https://ids.lib.harvard.edu/ids/iiif/18832790/251,223,77,16/full/0/native.jpg)
USED CARS
![](https://ids.lib.harvard.edu/ids/iiif/18832790/253,222,37,16/full/0/native.jpg)
USED
![](https://ids.lib.harvard.edu/ids/iiif/18832790/248,196,44,16/full/0/native.jpg)
BILLION
![](https://ids.lib.harvard.edu/ids/iiif/18832790/247,187,86,27/full/0/native.jpg)
BILLION MOTORS
![](https://ids.lib.harvard.edu/ids/iiif/18832790/294,187,41,19/full/0/native.jpg)
MOTORS
![](https://ids.lib.harvard.edu/ids/iiif/18832790/165,33,70,28/full/0/native.jpg)
CAR5
![](https://ids.lib.harvard.edu/ids/iiif/18832790/987,667,11,1/full/0/native.jpg)
ODIK--V
![](https://ids.lib.harvard.edu/ids/iiif/18832790/257,227,75,14/full/0/native.jpg)
USED CARS
![](https://ids.lib.harvard.edu/ids/iiif/18832790/257,227,36,14/full/0/native.jpg)
USED
![](https://ids.lib.harvard.edu/ids/iiif/18832790/294,227,38,14/full/0/native.jpg)
CARS