Machine Generated Data
Tags
Amazon
created on 2023-10-25
Cruiser | 100 | |
| ||
Military | 100 | |
| ||
Navy | 100 | |
| ||
Ship | 100 | |
| ||
Transportation | 100 | |
| ||
Vehicle | 100 | |
| ||
Aircraft Carrier | 95.6 | |
| ||
Boat | 86.8 | |
| ||
Watercraft | 85.9 | |
| ||
Boat | 80.2 | |
| ||
Water | 75.7 | |
| ||
Destroyer | 72.8 | |
| ||
Waterfront | 68.2 | |
| ||
Boat | 66.7 | |
| ||
Battleship | 63 | |
| ||
Chart | 57.2 | |
| ||
Plot | 57.2 | |
| ||
Yacht | 56.3 | |
|
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
wreckage | 30.3 | |
| ||
part | 22.6 | |
| ||
book jacket | 21 | |
| ||
paper | 20.9 | |
| ||
design | 19.1 | |
| ||
blank | 18.8 | |
| ||
jacket | 16.4 | |
| ||
collection | 16.2 | |
| ||
old | 16 | |
| ||
vintage | 15.7 | |
| ||
business | 14.6 | |
| ||
decoration | 12.9 | |
| ||
gift | 12.9 | |
| ||
object | 12.4 | |
| ||
wrapping | 12.4 | |
| ||
box | 12.1 | |
| ||
symbol | 12.1 | |
| ||
letter | 11.9 | |
| ||
web site | 11.7 | |
| ||
space | 11.6 | |
| ||
retro | 11.5 | |
| ||
sign | 11.3 | |
| ||
modern | 11.2 | |
| ||
birthday | 11.1 | |
| ||
covering | 10.7 | |
| ||
card | 10.3 | |
| ||
valentine | 10 | |
| ||
frame | 9.4 | |
| ||
art | 9.1 | |
| ||
history | 8.9 | |
| ||
celebration | 8.8 | |
| ||
stamp | 8.7 | |
| ||
grunge | 8.5 | |
| ||
money | 8.5 | |
| ||
product | 8.4 | |
| ||
page | 8.3 | |
| ||
template | 8.2 | |
| ||
present | 8.2 | |
| ||
food | 8.1 | |
| ||
aged | 8.1 | |
| ||
new | 8.1 | |
| ||
antique | 8 | |
| ||
office | 8 | |
| ||
menu | 8 | |
| ||
world | 8 | |
| ||
package | 8 | |
| ||
7.6 | ||
| ||
anniversary | 7.5 | |
| ||
presentation | 7.4 | |
| ||
event | 7.4 | |
| ||
many | 7.4 | |
| ||
shopping | 7.3 | |
| ||
global | 7.3 | |
| ||
fish | 7.3 | |
| ||
success | 7.2 | |
| ||
black | 7.2 | |
| ||
home | 7.2 | |
|
Google
created on 2018-10-06
black and white | 93.5 | |
| ||
photography | 82.7 | |
| ||
monochrome photography | 81.3 | |
| ||
monochrome | 67.6 | |
| ||
stock photography | 53.5 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979197/193,2294,476,582/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979197/212,4327,402,531/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979197/196,121,622,796/full/0/native.jpg)
Boat | 86.8% | |
|
Categories
Imagga
paintings art | 98.1% | |
| ||
streetview architecture | 0.6% | |
| ||
interior objects | 0.5% | |
| ||
text visuals | 0.5% | |
| ||
food drinks | 0.1% | |
| ||
pets animals | 0.1% | |
|
Captions
Microsoft
created on 2018-10-06
an old photo of a computer | 31.5% | |
| ||
an old photo of a person | 26.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979197/932,4472,41,61/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/38979197/924,3496,43,59/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/38979197/914,2480,39,77/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/38979197/896,486,47,81/full/0/native.jpg)
22
![](https://ids.lib.harvard.edu/ids/iiif/38979197/71,4088,43,155/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38979197/73,3837,42,122/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979197/71,4287,41,192/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979197/75,3634,41,161/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979197/904,972,47,103/full/0/native.jpg)
21A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/936,4953,43,107/full/0/native.jpg)
17A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/918,2977,43,103/full/0/native.jpg)
19A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/928,3975,43,105/full/0/native.jpg)
18A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/70,3634,45,845/full/0/native.jpg)
KODAK PLUS x PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979197/916,1494,25,47/full/0/native.jpg)
21
![](https://ids.lib.harvard.edu/ids/iiif/38979197/54,1738,45,231/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979197/902,1975,49,121/full/0/native.jpg)
20A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/75,4006,37,31/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979197/892,55,39,25/full/0/native.jpg)
١٧
![](https://ids.lib.harvard.edu/ids/iiif/38979197/48,488,939,4583/full/0/native.jpg)
KODAK SAFETY FI LM
KODAK PLUSX PAN FILM
→22
20 A
→19A
-20
→18A
17A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/59,2069,53,177/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979197/55,1759,53,274/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979197/50,1595,51,123/full/0/native.jpg)
FI
![](https://ids.lib.harvard.edu/ids/iiif/38979197/48,1508,51,81/full/0/native.jpg)
LM
![](https://ids.lib.harvard.edu/ids/iiif/38979197/74,4017,41,236/full/0/native.jpg)
PLUSX
![](https://ids.lib.harvard.edu/ids/iiif/38979197/78,3847,36,119/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979197/78,3645,38,160/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979197/907,577,30,96/full/0/native.jpg)
→
![](https://ids.lib.harvard.edu/ids/iiif/38979197/898,488,43,79/full/0/native.jpg)
22
![](https://ids.lib.harvard.edu/ids/iiif/38979197/905,2022,43,79/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/38979197/909,1990,28,28/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/917,2987,45,102/full/0/native.jpg)
19A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/907,2498,55,185/full/0/native.jpg)
-20
![](https://ids.lib.harvard.edu/ids/iiif/38979197/930,3985,43,104/full/0/native.jpg)
18A
![](https://ids.lib.harvard.edu/ids/iiif/38979197/930,4960,55,111/full/0/native.jpg)
17A