Machine Generated Data
Tags
Amazon
created on 2019-03-26
Human | 98.6 | |
| ||
Person | 98.6 | |
| ||
Person | 93 | |
| ||
Person | 91.6 | |
| ||
Building | 90.2 | |
| ||
Nature | 83.1 | |
| ||
Transportation | 80.9 | |
| ||
Person | 80.8 | |
| ||
Vehicle | 80 | |
| ||
Office Building | 73.6 | |
| ||
Person | 73.3 | |
| ||
Factory | 71.7 | |
| ||
Hangar | 71.6 | |
| ||
Person | 70.2 | |
| ||
Rail | 69.3 | |
| ||
Train Track | 69.3 | |
| ||
Railway | 69.3 | |
| ||
Train | 68.6 | |
| ||
Urban | 68.5 | |
| ||
Outdoors | 66.4 | |
| ||
Locomotive | 58.4 | |
| ||
Advertisement | 57.4 | |
| ||
Neighborhood | 56.4 | |
| ||
Shipping Container | 56.1 | |
|
Clarifai
created on 2019-03-26
architecture | 97.5 | |
| ||
street | 95.9 | |
| ||
no person | 95.8 | |
| ||
building | 95.2 | |
| ||
monochrome | 95.2 | |
| ||
outdoors | 92.7 | |
| ||
city | 89.5 | |
| ||
travel | 88.7 | |
| ||
people | 88.6 | |
| ||
house | 86.7 | |
| ||
modern | 86.4 | |
| ||
expression | 86 | |
| ||
transportation system | 85.8 | |
| ||
sky | 85.5 | |
| ||
horizontal plane | 85.5 | |
| ||
industry | 83.6 | |
| ||
vintage | 82.7 | |
| ||
fence | 82.3 | |
| ||
winter | 80.6 | |
| ||
black and white | 80 | |
|
Imagga
created on 2019-03-26
car | 45.4 | |
| ||
structure | 44.4 | |
| ||
freight car | 44.1 | |
| ||
hut | 43.7 | |
| ||
building | 39.9 | |
| ||
wheeled vehicle | 37.5 | |
| ||
architecture | 36.1 | |
| ||
shelter | 33.7 | |
| ||
sky | 31.3 | |
| ||
city | 27.5 | |
| ||
vehicle | 26.3 | |
| ||
house | 24.5 | |
| ||
travel | 19.7 | |
| ||
urban | 19.2 | |
| ||
university | 17.7 | |
| ||
clouds | 16.9 | |
| ||
exterior | 16.6 | |
| ||
buildings | 16.1 | |
| ||
conveyance | 14.8 | |
| ||
landscape | 14.1 | |
| ||
home | 13.6 | |
| ||
light | 13.4 | |
| ||
landmark | 12.6 | |
| ||
sunset | 12.6 | |
| ||
river | 12.5 | |
| ||
water | 12 | |
| ||
old | 11.9 | |
| ||
rural | 11.5 | |
| ||
new | 11.3 | |
| ||
street | 11 | |
| ||
tower | 10.7 | |
| ||
trees | 10.7 | |
| ||
passenger car | 10.6 | |
| ||
reflection | 10.6 | |
| ||
outdoors | 10.5 | |
| ||
business | 10.3 | |
| ||
grass | 10.3 | |
| ||
industrial | 10 | |
| ||
outdoor | 9.9 | |
| ||
station | 9.7 | |
| ||
england | 9.5 | |
| ||
scene | 9.5 | |
| ||
skyline | 9.5 | |
| ||
cityscape | 9.5 | |
| ||
office | 9.4 | |
| ||
industry | 9.4 | |
| ||
modern | 9.1 | |
| ||
night | 8.9 | |
| ||
scenic | 8.8 | |
| ||
sea | 8.6 | |
| ||
facade | 8.6 | |
| ||
construction | 8.6 | |
| ||
estate | 8.6 | |
| ||
cloudy | 8.4 | |
| ||
tourism | 8.3 | |
| ||
facility | 8.2 | |
| ||
transportation | 8.1 | |
| ||
housing | 7.9 | |
| ||
silo | 7.9 | |
| ||
agriculture | 7.9 | |
| ||
railway station | 7.9 | |
| ||
roof | 7.8 | |
| ||
snow | 7.8 | |
| ||
bridge | 7.8 | |
| ||
summer | 7.7 | |
| ||
residential | 7.7 | |
| ||
hotel | 7.6 | |
| ||
real | 7.6 | |
| ||
power | 7.6 | |
| ||
window | 7.4 | |
| ||
town | 7.4 | |
| ||
transport | 7.3 | |
| ||
tourist | 7.3 | |
| ||
farm | 7.1 | |
|
Google
created on 2019-03-26
Building | 82 | |
| ||
Architecture | 76.3 | |
| ||
Black-and-white | 68.3 | |
| ||
Monochrome | 64.3 | |
| ||
History | 60.4 | |
| ||
Water tower | 57.6 | |
| ||
House | 53.7 | |
|
Microsoft
created on 2019-03-26
outdoor | 96.3 | |
| ||
black and white | 96.3 | |
| ||
station | 47.5 | |
| ||
winter | 46.6 | |
| ||
building | 46.5 | |
| ||
monochrome | 23.7 | |
| ||
street | 21.8 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739139/878,564,21,53/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18739139/916,552,10,30/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18739139/850,555,20,61/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18739139/638,309,28,41/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18739139/594,313,32,37/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18739139/931,558,11,24/full/0/native.jpg)
Person | 98.6% | |
|
Categories
Imagga
streetview architecture | 98.6% | |
| ||
nature landscape | 1.1% | |
|
Captions
Microsoft
created on 2019-03-26
a black and white photo of a building | 86.4% | |
| ||
a large white building | 85.2% | |
| ||
a close up of a white building | 82.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739139/612,214,92,29/full/0/native.jpg)
DEUTZ
![](https://ids.lib.harvard.edu/ids/iiif/18739139/612,203,176,41/full/0/native.jpg)
DEUTZ MOTOR
![](https://ids.lib.harvard.edu/ids/iiif/18739139/712,205,78,29/full/0/native.jpg)
MOTOR
![](https://ids.lib.harvard.edu/ids/iiif/18739139/604,439,43,11/full/0/native.jpg)
COLN-KALK
![](https://ids.lib.harvard.edu/ids/iiif/18739139/132,209,657,320/full/0/native.jpg)
DEUTZ MOTOR
SCHUMACHER
COLN KALK
n I
![](https://ids.lib.harvard.edu/ids/iiif/18739139/618,209,91,40/full/0/native.jpg)
DEUTZ
![](https://ids.lib.harvard.edu/ids/iiif/18739139/712,213,77,38/full/0/native.jpg)
MOTOR
![](https://ids.lib.harvard.edu/ids/iiif/18739139/606,431,47,13/full/0/native.jpg)
SCHUMACHER
![](https://ids.lib.harvard.edu/ids/iiif/18739139/609,440,19,13/full/0/native.jpg)
COLN
![](https://ids.lib.harvard.edu/ids/iiif/18739139/627,439,20,13/full/0/native.jpg)
KALK
![](https://ids.lib.harvard.edu/ids/iiif/18739139/132,505,37,23/full/0/native.jpg)
n
![](https://ids.lib.harvard.edu/ids/iiif/18739139/173,507,11,22/full/0/native.jpg)
I