Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
no person | 98.6 | |
| ||
monochrome | 98.4 | |
| ||
street | 95.3 | |
| ||
architecture | 94.3 | |
| ||
people | 91.4 | |
| ||
art | 91 | |
| ||
city | 89.6 | |
| ||
reflection | 89 | |
| ||
window | 88.4 | |
| ||
mono | 87.6 | |
| ||
analogue | 87 | |
| ||
building | 87 | |
| ||
landscape | 86.9 | |
| ||
museum | 85.8 | |
| ||
urban | 85.4 | |
| ||
analog | 85.2 | |
| ||
retro | 85.1 | |
| ||
glass items | 84.5 | |
| ||
old | 84.4 | |
| ||
shelf | 84 | |
|
Imagga
created on 2022-01-08
container ship | 45.3 | |
| ||
scoreboard | 38.9 | |
| ||
board | 37.8 | |
| ||
cargo ship | 36.3 | |
| ||
ship | 30.8 | |
| ||
signboard | 29.8 | |
| ||
architecture | 28.6 | |
| ||
city | 24.1 | |
| ||
vessel | 22.8 | |
| ||
digital clock | 21.6 | |
| ||
building | 21.4 | |
| ||
business | 21.2 | |
| ||
clock | 17.2 | |
| ||
equipment | 15.8 | |
| ||
modern | 14.7 | |
| ||
industry | 14.5 | |
| ||
technology | 14.1 | |
| ||
timepiece | 13.4 | |
| ||
urban | 13.1 | |
| ||
travel | 12.7 | |
| ||
office | 12.3 | |
| ||
bank | 11.6 | |
| ||
commerce | 11.2 | |
| ||
old | 11.1 | |
| ||
finance | 11 | |
| ||
sky | 10.8 | |
| ||
screen | 10.3 | |
| ||
money | 10.2 | |
| ||
town | 10.2 | |
| ||
film | 10.1 | |
| ||
house | 10 | |
| ||
financial | 9.8 | |
| ||
digital | 9.7 | |
| ||
trade | 9.6 | |
| ||
bridge | 9.4 | |
| ||
glass | 9.3 | |
| ||
display | 9.3 | |
| ||
window | 9.2 | |
| ||
transport | 9.1 | |
| ||
center | 9.1 | |
| ||
monitor | 9 | |
| ||
tower | 8.9 | |
| ||
container | 8.9 | |
| ||
electronic equipment | 8.9 | |
| ||
information | 8.8 | |
| ||
craft | 8.8 | |
| ||
device | 8.8 | |
| ||
computer | 8.8 | |
| ||
structure | 8.7 | |
| ||
work | 8.6 | |
| ||
international | 8.6 | |
| ||
art | 8.5 | |
| ||
design | 8.4 | |
| ||
economy | 8.3 | |
| ||
tourism | 8.2 | |
| ||
text | 7.8 | |
| ||
construction | 7.7 | |
| ||
pattern | 7.5 | |
| ||
negative | 7.5 | |
| ||
network | 7.4 | |
| ||
banking | 7.3 | |
| ||
water | 7.3 | |
| ||
cash | 7.3 | |
| ||
new | 7.3 | |
| ||
industrial | 7.3 | |
| ||
success | 7.2 | |
| ||
black | 7.2 | |
| ||
currency | 7.2 | |
| ||
transportation | 7.2 | |
| ||
night | 7.1 | |
| ||
interior | 7.1 | |
|
Google
created on 2022-01-08
Rectangle | 90.1 | |
| ||
Font | 82.2 | |
| ||
Tints and shades | 75.9 | |
| ||
Shelving | 73.9 | |
| ||
Parallel | 72.2 | |
| ||
Monochrome photography | 71.6 | |
| ||
Monochrome | 69.9 | |
| ||
Room | 64.8 | |
| ||
Display device | 61.2 | |
| ||
Pattern | 59.9 | |
| ||
Multimedia | 59.8 | |
| ||
Collection | 57.8 | |
| ||
Visual arts | 56.4 | |
| ||
Negative | 54.4 | |
| ||
Art | 50.8 | |
| ||
Photographic paper | 50.7 | |
|
Microsoft
created on 2022-01-08
text | 99.9 | |
| ||
indoor | 93.4 | |
| ||
black and white | 84.6 | |
| ||
screenshot | 82.2 | |
| ||
white | 62.3 | |
| ||
building | 53.2 | |
| ||
old | 52 | |
|
Color Analysis
Categories
Imagga
text visuals | 98.6% | |
|
Captions
Microsoft
created on 2022-01-08
a group of people in a room | 48.9% | |
| ||
an old photo of a person | 35.7% | |
| ||
an old photo of a group of people in a room | 35.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18786306/587,299,14,5/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786306/768,292,17,8/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/18786306/737,292,27,8/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18786306/797,291,16,7/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786306/726,142,16,7/full/0/native.jpg)
PAW
![](https://ids.lib.harvard.edu/ids/iiif/18786306/241,175,15,8/full/0/native.jpg)
32
![](https://ids.lib.harvard.edu/ids/iiif/18786306/400,171,13,6/full/0/native.jpg)
33
![](https://ids.lib.harvard.edu/ids/iiif/18786306/463,94,15,8/full/0/native.jpg)
DU
![](https://ids.lib.harvard.edu/ids/iiif/18786306/604,673,24,7/full/0/native.jpg)
PERUTZ
![](https://ids.lib.harvard.edu/ids/iiif/18786306/788,472,8,7/full/0/native.jpg)
50
![](https://ids.lib.harvard.edu/ids/iiif/18786306/420,92,58,12/full/0/native.jpg)
DU MARCHE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/796,156,18,8/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/18786306/313,484,7,7/full/0/native.jpg)
56
![](https://ids.lib.harvard.edu/ids/iiif/18786306/420,92,39,12/full/0/native.jpg)
MARCHE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/737,291,76,10/full/0/native.jpg)
KODAK PLUS x PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786306/558,298,43,9/full/0/native.jpg)
SAFE.TY FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786306/653,673,5,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18786306/558,298,28,9/full/0/native.jpg)
SAFE.TY
![](https://ids.lib.harvard.edu/ids/iiif/18786306/731,670,8,6/full/0/native.jpg)
26
![](https://ids.lib.harvard.edu/ids/iiif/18786306/128,558,12,5/full/0/native.jpg)
AV6
![](https://ids.lib.harvard.edu/ids/iiif/18786306/467,478,13,10/full/0/native.jpg)
في
![](https://ids.lib.harvard.edu/ids/iiif/18786306/631,477,5,5/full/0/native.jpg)
52
![](https://ids.lib.harvard.edu/ids/iiif/18786306/788,293,5,5/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/18786306/319,172,19,8/full/0/native.jpg)
32A
![](https://ids.lib.harvard.edu/ids/iiif/18786306/550,479,5,5/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/18786306/393,483,5,4/full/0/native.jpg)
Y
![](https://ids.lib.harvard.edu/ids/iiif/18786306/624,341,8,6/full/0/native.jpg)
CS
![](https://ids.lib.harvard.edu/ids/iiif/18786306/574,676,5,4/full/0/native.jpg)
M
![](https://ids.lib.harvard.edu/ids/iiif/18786306/234,489,4,4/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/18786306/549,345,5,3/full/0/native.jpg)
LG
![](https://ids.lib.harvard.edu/ids/iiif/18786306/152,354,4,4/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/18786306/810,666,10,8/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18786306/171,557,5,4/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/18786306/785,339,5,4/full/0/native.jpg)
e
![](https://ids.lib.harvard.edu/ids/iiif/18786306/515,95,31,13/full/0/native.jpg)
CARE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/256,689,5,5/full/0/native.jpg)
D
![](https://ids.lib.harvard.edu/ids/iiif/18786306/129,88,689,597/full/0/native.jpg)
CAFE LOU HARDHE
PAW
KODAK PLUus X PAN
KODAK
SAFE TY FILM•
zina
PAW
AVd
24
PERUTZ
![](https://ids.lib.harvard.edu/ids/iiif/18786306/509,91,41,22/full/0/native.jpg)
CAFE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/461,91,21,20/full/0/native.jpg)
LOU
![](https://ids.lib.harvard.edu/ids/iiif/18786306/418,89,46,23/full/0/native.jpg)
HARDHE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/728,145,18,9/full/0/native.jpg)
PAW
![](https://ids.lib.harvard.edu/ids/iiif/18786306/739,295,29,9/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18786306/769,294,20,10/full/0/native.jpg)
PLUus
![](https://ids.lib.harvard.edu/ids/iiif/18786306/790,294,7,9/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/18786306/799,294,19,9/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786306/562,300,18,12/full/0/native.jpg)
SAFE
![](https://ids.lib.harvard.edu/ids/iiif/18786306/579,300,11,12/full/0/native.jpg)
TY
![](https://ids.lib.harvard.edu/ids/iiif/18786306/589,301,26,9/full/0/native.jpg)
FILM•
![](https://ids.lib.harvard.edu/ids/iiif/18786306/184,353,26,11/full/0/native.jpg)
zina
![](https://ids.lib.harvard.edu/ids/iiif/18786306/129,559,16,9/full/0/native.jpg)
AVd
![](https://ids.lib.harvard.edu/ids/iiif/18786306/575,676,10,9/full/0/native.jpg)
24
![](https://ids.lib.harvard.edu/ids/iiif/18786306/606,673,26,12/full/0/native.jpg)
PERUTZ