Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 94.4 | |
| ||
Human | 94.4 | |
| ||
Person | 92.7 | |
| ||
Person | 92 | |
| ||
Person | 88.3 | |
| ||
Tarmac | 87.2 | |
| ||
Asphalt | 87.2 | |
| ||
Road | 77.8 | |
| ||
Nature | 77.4 | |
| ||
Person | 76.7 | |
| ||
Outdoors | 72.2 | |
| ||
Meal | 70.4 | |
| ||
Food | 70.4 | |
| ||
Urban | 69.1 | |
| ||
Vehicle | 68.4 | |
| ||
Transportation | 68.4 | |
| ||
Person | 65.8 | |
| ||
Billboard | 63.3 | |
| ||
Advertisement | 63.3 | |
| ||
Text | 62.4 | |
| ||
Weather | 59.8 | |
| ||
Sports Car | 57.8 | |
| ||
Car | 57.8 | |
| ||
Automobile | 57.8 | |
| ||
Building | 56.2 | |
| ||
Intersection | 55.3 | |
|
Clarifai
created on 2023-10-26
street | 99.5 | |
| ||
people | 99.3 | |
| ||
monochrome | 99.3 | |
| ||
city | 96.4 | |
| ||
group together | 95.3 | |
| ||
town | 93.1 | |
| ||
no person | 91.3 | |
| ||
transportation system | 91.2 | |
| ||
adult | 90.5 | |
| ||
vintage | 88.8 | |
| ||
man | 86.1 | |
| ||
architecture | 85.9 | |
| ||
retro | 85.6 | |
| ||
black and white | 85.5 | |
| ||
vehicle | 85.3 | |
| ||
square | 84.8 | |
| ||
urban | 84.8 | |
| ||
group | 83.7 | |
| ||
many | 82.8 | |
| ||
outdoors | 82.3 | |
|
Imagga
created on 2022-01-15
signboard | 80.5 | |
| ||
scoreboard | 79.3 | |
| ||
board | 60 | |
| ||
newspaper | 29 | |
| ||
city | 26.6 | |
| ||
billboard | 25.1 | |
| ||
building | 24 | |
| ||
product | 22.4 | |
| ||
architecture | 22 | |
| ||
sea | 19.5 | |
| ||
ship | 19.4 | |
| ||
structure | 19.1 | |
| ||
travel | 18.3 | |
| ||
ocean | 17.4 | |
| ||
boat | 16.7 | |
| ||
creation | 16.6 | |
| ||
business | 16.4 | |
| ||
transportation | 16.1 | |
| ||
sky | 15.9 | |
| ||
urban | 15.7 | |
| ||
water | 15.3 | |
| ||
sign | 14.3 | |
| ||
port | 13.5 | |
| ||
harbor | 13.5 | |
| ||
town | 13 | |
| ||
shipping | 12.8 | |
| ||
downtown | 12.5 | |
| ||
tourism | 12.4 | |
| ||
famous | 12.1 | |
| ||
house | 11.7 | |
| ||
vessel | 11.7 | |
| ||
tower | 11.6 | |
| ||
night | 11.5 | |
| ||
cityscape | 11.4 | |
| ||
street | 11 | |
| ||
finance | 11 | |
| ||
road | 10.8 | |
| ||
landmark | 10.8 | |
| ||
container ship | 10.7 | |
| ||
vacation | 10.6 | |
| ||
bridge | 10.4 | |
| ||
transport | 10 | |
| ||
tourist | 10 | |
| ||
modern | 9.8 | |
| ||
dock | 9.7 | |
| ||
construction | 9.4 | |
| ||
industry | 9.4 | |
| ||
industrial | 9.1 | |
| ||
landscape | 8.9 | |
| ||
cargo ship | 8.9 | |
| ||
financial | 8.9 | |
| ||
scene | 8.7 | |
| ||
traffic | 8.6 | |
| ||
old | 8.4 | |
| ||
office | 8.3 | |
| ||
lake | 8.2 | |
| ||
home | 8 | |
| ||
freight | 7.8 | |
| ||
pacific | 7.7 | |
| ||
brick | 7.5 | |
| ||
car | 7.5 | |
| ||
destination | 7.5 | |
| ||
commerce | 7.5 | |
| ||
technology | 7.4 | |
| ||
light | 7.4 | |
| ||
stall | 7.3 | |
| ||
bank | 7.2 | |
|
Google
created on 2022-01-15
Window | 88.6 | |
| ||
Rectangle | 87.9 | |
| ||
Building | 87.5 | |
| ||
Black-and-white | 86.4 | |
| ||
Style | 83.9 | |
| ||
Font | 83.6 | |
| ||
Facade | 78.4 | |
| ||
Monochrome | 77.6 | |
| ||
Monochrome photography | 77.5 | |
| ||
Art | 75.7 | |
| ||
Advertising | 68.8 | |
| ||
Signage | 65.5 | |
| ||
Street | 60.4 | |
| ||
Machine | 56.3 | |
| ||
City | 55.5 | |
| ||
History | 55.2 | |
| ||
Room | 54.8 | |
| ||
Motor vehicle | 54.1 | |
| ||
Paper product | 53.6 | |
| ||
Visual arts | 51.5 | |
|
Microsoft
created on 2022-01-15
text | 99.9 | |
| ||
outdoor | 97.7 | |
| ||
road | 97.1 | |
| ||
black and white | 95.2 | |
| ||
street | 89.3 | |
| ||
billboard | 80.9 | |
| ||
building | 74.8 | |
| ||
monochrome | 52.9 | |
| ||
store | 33.9 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18826020/735,385,35,117/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18826020/697,411,36,95/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18826020/60,386,39,131/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18826020/121,400,37,113/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18826020/786,428,46,75/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18826020/467,376,42,121/full/0/native.jpg)
Person | 94.4% | |
|
Categories
Imagga
text visuals | 74.2% | |
| ||
streetview architecture | 14.2% | |
| ||
paintings art | 5.2% | |
| ||
interior objects | 4.7% | |
| ||
beaches seaside | 1% | |
|
Captions
Microsoft
created on 2022-01-15
a sign on the side of a building | 91.3% | |
| ||
a store front at day | 91.2% | |
| ||
a store sign on the side of a building | 90.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18826020/584,485,54,15/full/0/native.jpg)
RESERVED
![](https://ids.lib.harvard.edu/ids/iiif/18826020/484,315,70,24/full/0/native.jpg)
WELCOME
![](https://ids.lib.harvard.edu/ids/iiif/18826020/914,360,25,8/full/0/native.jpg)
BANK
![](https://ids.lib.harvard.edu/ids/iiif/18826020/551,137,242,41/full/0/native.jpg)
PHARMACY
![](https://ids.lib.harvard.edu/ids/iiif/18826020/333,137,461,49/full/0/native.jpg)
WESTY'S PHARMACY
![](https://ids.lib.harvard.edu/ids/iiif/18826020/334,147,183,39/full/0/native.jpg)
WESTY'S
![](https://ids.lib.harvard.edu/ids/iiif/18826020/447,267,144,23/full/0/native.jpg)
LOCKHART
![](https://ids.lib.harvard.edu/ids/iiif/18826020/913,349,26,8/full/0/native.jpg)
NATIONAL
![](https://ids.lib.harvard.edu/ids/iiif/18826020/418,275,28,7/full/0/native.jpg)
ORLEANS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/716,321,58,21/full/0/native.jpg)
Rexall
![](https://ids.lib.harvard.edu/ids/iiif/18826020/604,470,30,11/full/0/native.jpg)
SPACE
![](https://ids.lib.harvard.edu/ids/iiif/18826020/912,335,28,12/full/0/native.jpg)
FIRST
![](https://ids.lib.harvard.edu/ids/iiif/18826020/584,470,51,11/full/0/native.jpg)
THIS SPACE
![](https://ids.lib.harvard.edu/ids/iiif/18826020/402,274,44,11/full/0/native.jpg)
NEW ORLEANS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/592,272,52,9/full/0/native.jpg)
SANFRANCISCO
![](https://ids.lib.harvard.edu/ids/iiif/18826020/305,462,18,11/full/0/native.jpg)
THIS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/584,500,12,7/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/402,276,14,8/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/18826020/417,267,11,7/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18826020/991,274,12,25/full/0/native.jpg)
se
![](https://ids.lib.harvard.edu/ids/iiif/18826020/534,288,15,5/full/0/native.jpg)
FEET
![](https://ids.lib.harvard.edu/ids/iiif/18826020/486,288,31,7/full/0/native.jpg)
ELEVATION
![](https://ids.lib.harvard.edu/ids/iiif/18826020/663,321,137,21/full/0/native.jpg)
WESTY'S Rexall DR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/486,288,64,7/full/0/native.jpg)
ELEVATION 514 FEET
![](https://ids.lib.harvard.edu/ids/iiif/18826020/780,325,20,10/full/0/native.jpg)
DR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/520,288,11,6/full/0/native.jpg)
514
![](https://ids.lib.harvard.edu/ids/iiif/18826020/771,344,39,13/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/18826020/411,284,26,7/full/0/native.jpg)
531.6M
![](https://ids.lib.harvard.edu/ids/iiif/18826020/316,324,98,21/full/0/native.jpg)
WESTY & Rexall
![](https://ids.lib.harvard.edu/ids/iiif/18826020/317,328,36,13/full/0/native.jpg)
WESTY
![](https://ids.lib.harvard.edu/ids/iiif/18826020/354,331,8,8/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18826020/584,500,24,8/full/0/native.jpg)
FOR DR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/527,363,11,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18826020/349,494,4,4/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18826020/600,282,32,7/full/0/native.jpg)
1977.5M
![](https://ids.lib.harvard.edu/ids/iiif/18826020/303,491,51,8/full/0/native.jpg)
FOR DL.A.A.ROIS a
![](https://ids.lib.harvard.edu/ids/iiif/18826020/914,378,24,5/full/0/native.jpg)
1250.002%
![](https://ids.lib.harvard.edu/ids/iiif/18826020/316,492,33,7/full/0/native.jpg)
DL.A.A.ROIS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/498,347,26,8/full/0/native.jpg)
Special
![](https://ids.lib.harvard.edu/ids/iiif/18826020/303,140,713,455/full/0/native.jpg)
WESTY'S PHARMACY
то
SANFRANCISCO
1977.SH
то
NEW ORLEANS LOCKHART
531 GM
ELEVATION SI4 FEET
WELCOME
WESTY'S Rexall DR
Coca-Cola
WES TY STexal
FIRST
Coca-Cola
NATIONAL
TO OUR
XENN
BANK
12500
THIS SPACE
TWIS SPACE
RESERVED
FOR DEAA ROH a
RESERVED
FOR DR.OK DUBON
KODVK-2VEE.
![](https://ids.lib.harvard.edu/ids/iiif/18826020/337,151,184,41/full/0/native.jpg)
WESTY'S
![](https://ids.lib.harvard.edu/ids/iiif/18826020/555,140,242,44/full/0/native.jpg)
PHARMACY
![](https://ids.lib.harvard.edu/ids/iiif/18826020/608,266,15,10/full/0/native.jpg)
то
![](https://ids.lib.harvard.edu/ids/iiif/18826020/595,273,54,13/full/0/native.jpg)
SANFRANCISCO
![](https://ids.lib.harvard.edu/ids/iiif/18826020/602,282,34,12/full/0/native.jpg)
1977.SH
![](https://ids.lib.harvard.edu/ids/iiif/18826020/397,271,24,23/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/18826020/418,270,35,24/full/0/native.jpg)
ORLEANS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/449,269,146,25/full/0/native.jpg)
LOCKHART
![](https://ids.lib.harvard.edu/ids/iiif/18826020/414,287,15,10/full/0/native.jpg)
531
![](https://ids.lib.harvard.edu/ids/iiif/18826020/428,286,14,11/full/0/native.jpg)
GM
![](https://ids.lib.harvard.edu/ids/iiif/18826020/488,290,34,9/full/0/native.jpg)
ELEVATION
![](https://ids.lib.harvard.edu/ids/iiif/18826020/522,289,13,10/full/0/native.jpg)
SI4
![](https://ids.lib.harvard.edu/ids/iiif/18826020/536,290,19,9/full/0/native.jpg)
FEET
![](https://ids.lib.harvard.edu/ids/iiif/18826020/486,317,73,28/full/0/native.jpg)
WELCOME
![](https://ids.lib.harvard.edu/ids/iiif/18826020/718,323,66,22/full/0/native.jpg)
Rexall
![](https://ids.lib.harvard.edu/ids/iiif/18826020/773,323,33,21/full/0/native.jpg)
DR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/769,345,46,18/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/18826020/316,328,27,20/full/0/native.jpg)
WES
![](https://ids.lib.harvard.edu/ids/iiif/18826020/340,327,16,21/full/0/native.jpg)
TY
![](https://ids.lib.harvard.edu/ids/iiif/18826020/357,326,63,22/full/0/native.jpg)
STexal
![](https://ids.lib.harvard.edu/ids/iiif/18826020/911,337,34,16/full/0/native.jpg)
FIRST
![](https://ids.lib.harvard.edu/ids/iiif/18826020/915,351,28,11/full/0/native.jpg)
NATIONAL
![](https://ids.lib.harvard.edu/ids/iiif/18826020/495,360,36,13/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18826020/528,358,19,15/full/0/native.jpg)
OUR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/509,367,35,11/full/0/native.jpg)
XENN
![](https://ids.lib.harvard.edu/ids/iiif/18826020/912,360,32,14/full/0/native.jpg)
BANK
![](https://ids.lib.harvard.edu/ids/iiif/18826020/914,377,27,12/full/0/native.jpg)
12500
![](https://ids.lib.harvard.edu/ids/iiif/18826020/306,464,21,13/full/0/native.jpg)
THIS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/327,464,30,14/full/0/native.jpg)
SPACE
![](https://ids.lib.harvard.edu/ids/iiif/18826020/584,471,22,14/full/0/native.jpg)
TWIS
![](https://ids.lib.harvard.edu/ids/iiif/18826020/307,479,52,17/full/0/native.jpg)
RESERVED
![](https://ids.lib.harvard.edu/ids/iiif/18826020/303,492,16,12/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/18826020/318,494,21,10/full/0/native.jpg)
DEAA
![](https://ids.lib.harvard.edu/ids/iiif/18826020/337,494,15,11/full/0/native.jpg)
ROH
![](https://ids.lib.harvard.edu/ids/iiif/18826020/351,495,7,10/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18826020/600,500,23,16/full/0/native.jpg)
DR.OK
![](https://ids.lib.harvard.edu/ids/iiif/18826020/620,501,22,14/full/0/native.jpg)
DUBON
![](https://ids.lib.harvard.edu/ids/iiif/18826020/994,434,22,162/full/0/native.jpg)
KODVK-2VEE.