Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
sewing machine | 38.7 | |
| ||
home appliance | 34.1 | |
| ||
textile machine | 30.9 | |
| ||
device | 29.6 | |
| ||
machine | 28.1 | |
| ||
appliance | 26.1 | |
| ||
equipment | 17.4 | |
| ||
durables | 16.5 | |
| ||
old | 15.3 | |
| ||
grunge | 15.3 | |
| ||
digital | 14.6 | |
| ||
technology | 13.3 | |
| ||
city | 13.3 | |
| ||
transportation | 12.5 | |
| ||
electronic equipment | 12.5 | |
| ||
black | 12 | |
| ||
vehicle | 11.5 | |
| ||
travel | 11.3 | |
| ||
wall | 11.1 | |
| ||
architecture | 10.9 | |
| ||
light | 10.7 | |
| ||
computer | 10.4 | |
| ||
safe | 10.3 | |
| ||
transport | 10 | |
| ||
dark | 10 | |
| ||
road | 9.9 | |
| ||
car | 9.9 | |
| ||
vessel | 9.8 | |
| ||
building | 9.7 | |
| ||
empty | 9.4 | |
| ||
industry | 9.4 | |
| ||
container | 9.3 | |
| ||
water | 9.3 | |
| ||
boat | 9.3 | |
| ||
3d | 9.3 | |
| ||
frame | 9.1 | |
| ||
vintage | 9.1 | |
| ||
cockpit | 9.1 | |
| ||
texture | 9 | |
| ||
ship | 8.8 | |
| ||
strongbox | 8.7 | |
| ||
sea | 8.6 | |
| ||
construction | 8.5 | |
| ||
house | 8.4 | |
| ||
street | 8.3 | |
| ||
pattern | 8.2 | |
| ||
retro | 8.2 | |
| ||
design | 7.9 | |
| ||
urban | 7.9 | |
| ||
screen | 7.8 | |
| ||
film | 7.8 | |
| ||
art | 7.8 | |
| ||
antique | 7.8 | |
| ||
consumer goods | 7.8 | |
| ||
space | 7.8 | |
| ||
room | 7.6 | |
| ||
cassette deck | 7.6 | |
| ||
box | 7.6 | |
| ||
effects | 7.6 | |
| ||
three dimensional | 7.5 | |
| ||
tourism | 7.4 | |
| ||
business | 7.3 | |
| ||
metal | 7.2 | |
| ||
border | 7.2 | |
| ||
drive | 7.1 | |
| ||
paper | 7 | |
| ||
sky | 7 | |
| ||
modern | 7 | |
|
Google
created on 2022-06-04
Black | 89.9 | |
| ||
Font | 76.2 | |
| ||
Monochrome photography | 72.8 | |
| ||
Monochrome | 72.2 | |
| ||
History | 65.3 | |
| ||
Stock photography | 64.2 | |
| ||
Room | 63.1 | |
| ||
Rectangle | 62.5 | |
| ||
Arch | 61.6 | |
| ||
Photographic paper | 57.1 | |
| ||
Still life photography | 56.7 | |
| ||
Naval architecture | 51.6 | |
| ||
Art | 50.4 | |
|
Microsoft
created on 2022-06-04
text | 98.5 | |
| ||
black and white | 71.4 | |
|
Color Analysis
Feature analysis
Categories
Imagga
interior objects | 71.5% | |
| ||
cars vehicles | 25.7% | |
| ||
food drinks | 1.8% | |
|
Captions
Microsoft
created on 2022-06-04
a group of people standing in front of a store | 60.5% | |
| ||
a group of people walking in front of a store | 60.4% | |
| ||
a group of people in front of a store | 57.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489064/431,22,34,48/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/20489064/536,110,56,27/full/0/native.jpg)
HURON
![](https://ids.lib.harvard.edu/ids/iiif/20489064/418,72,57,16/full/0/native.jpg)
CAUTION
![](https://ids.lib.harvard.edu/ids/iiif/20489064/535,110,123,33/full/0/native.jpg)
HURON AVENUE
![](https://ids.lib.harvard.edu/ids/iiif/20489064/501,692,32,12/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/20489064/594,113,63,30/full/0/native.jpg)
AVENUE
![](https://ids.lib.harvard.edu/ids/iiif/20489064/26,686,101,17/full/0/native.jpg)
TRACKLESS
![](https://ids.lib.harvard.edu/ids/iiif/20489064/908,178,30,17/full/0/native.jpg)
CA
![](https://ids.lib.harvard.edu/ids/iiif/20489064/419,87,26,10/full/0/native.jpg)
KEEP
![](https://ids.lib.harvard.edu/ids/iiif/20489064/418,86,56,14/full/0/native.jpg)
KEEP BACK
![](https://ids.lib.harvard.edu/ids/iiif/20489064/746,211,29,14/full/0/native.jpg)
WALKING
![](https://ids.lib.harvard.edu/ids/iiif/20489064/744,221,38,16/full/0/native.jpg)
THE TRACK
![](https://ids.lib.harvard.edu/ids/iiif/20489064/446,87,28,13/full/0/native.jpg)
BACK
![](https://ids.lib.harvard.edu/ids/iiif/20489064/746,210,39,14/full/0/native.jpg)
WALKING EN
![](https://ids.lib.harvard.edu/ids/iiif/20489064/500,687,89,21/full/0/native.jpg)
MAY 41938
![](https://ids.lib.harvard.edu/ids/iiif/20489064/26,686,264,19/full/0/native.jpg)
TRACKLESS TROLERY-HAAYAGD
![](https://ids.lib.harvard.edu/ids/iiif/20489064/775,211,8,8/full/0/native.jpg)
EN
![](https://ids.lib.harvard.edu/ids/iiif/20489064/595,256,37,9/full/0/native.jpg)
B121
![](https://ids.lib.harvard.edu/ids/iiif/20489064/535,687,54,21/full/0/native.jpg)
41938
![](https://ids.lib.harvard.edu/ids/iiif/20489064/426,99,50,15/full/0/native.jpg)
WHITELINE
![](https://ids.lib.harvard.edu/ids/iiif/20489064/130,688,161,16/full/0/native.jpg)
TROLERY-HAAYAGD
![](https://ids.lib.harvard.edu/ids/iiif/20489064/818,205,8,8/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/20489064/30,23,900,685/full/0/native.jpg)
TRACKLESS TROLLEY-HARVARD
6
CAUTION
KEEP BACK
MAY 41938
BIZI
WALKING ON
THE TRACK
CA
![](https://ids.lib.harvard.edu/ids/iiif/20489064/30,687,101,19/full/0/native.jpg)
TRACKLESS
![](https://ids.lib.harvard.edu/ids/iiif/20489064/134,688,75,19/full/0/native.jpg)
TROLLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489064/209,689,12,17/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489064/219,689,76,19/full/0/native.jpg)
HARVARD
![](https://ids.lib.harvard.edu/ids/iiif/20489064/428,24,48,50/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/20489064/420,73,58,19/full/0/native.jpg)
CAUTION
![](https://ids.lib.harvard.edu/ids/iiif/20489064/420,87,30,17/full/0/native.jpg)
KEEP
![](https://ids.lib.harvard.edu/ids/iiif/20489064/448,89,33,17/full/0/native.jpg)
BACK
![](https://ids.lib.harvard.edu/ids/iiif/20489064/502,690,33,18/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/20489064/537,689,54,18/full/0/native.jpg)
41938
![](https://ids.lib.harvard.edu/ids/iiif/20489064/594,255,43,15/full/0/native.jpg)
BIZI
![](https://ids.lib.harvard.edu/ids/iiif/20489064/747,212,32,16/full/0/native.jpg)
WALKING
![](https://ids.lib.harvard.edu/ids/iiif/20489064/775,211,15,14/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489064/747,224,15,15/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20489064/758,222,27,16/full/0/native.jpg)
TRACK
![](https://ids.lib.harvard.edu/ids/iiif/20489064/911,182,19,16/full/0/native.jpg)
CA