Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 95.7 | |
| ||
Human | 95.7 | |
| ||
Person | 93.9 | |
| ||
Person | 93.5 | |
| ||
Person | 89.1 | |
| ||
Person | 87.7 | |
| ||
People | 75.5 | |
| ||
Meal | 74.7 | |
| ||
Food | 74.7 | |
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Transportation | 74.5 | |
| ||
Vehicle | 73.1 | |
| ||
Spoke | 71.2 | |
| ||
Machine | 71.2 | |
| ||
Flooring | 68.9 | |
| ||
Road | 68.4 | |
| ||
Path | 64.6 | |
| ||
Intersection | 61.6 | |
| ||
Floor | 61.4 | |
| ||
Urban | 60.5 | |
| ||
Train | 59.5 | |
| ||
Tarmac | 59 | |
| ||
Asphalt | 59 | |
| ||
Building | 56.4 | |
| ||
Wall | 56.1 | |
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Downtown | 55.3 | |
| ||
City | 55.3 | |
| ||
Town | 55.3 | |
|
Imagga
created on 2022-06-04
tramway | 90.2 | |
| ||
conveyance | 86.8 | |
| ||
streetcar | 61.7 | |
| ||
wheeled vehicle | 48.3 | |
| ||
vehicle | 38.5 | |
| ||
travel | 31.7 | |
| ||
transportation | 29.6 | |
| ||
city | 29.1 | |
| ||
train | 27.5 | |
| ||
station | 26.2 | |
| ||
urban | 24.5 | |
| ||
building | 23.4 | |
| ||
architecture | 22.8 | |
| ||
car | 22.4 | |
| ||
transport | 21.9 | |
| ||
street | 18.4 | |
| ||
railway | 17.7 | |
| ||
old | 17.4 | |
| ||
rail | 14.7 | |
| ||
sky | 14.7 | |
| ||
town | 13.9 | |
| ||
railroad | 13.8 | |
| ||
passenger car | 13.4 | |
| ||
light | 13.4 | |
| ||
subway | 12.8 | |
| ||
wagon | 12.8 | |
| ||
river | 12.5 | |
| ||
speed | 11.9 | |
| ||
transit | 11.8 | |
| ||
industrial | 11.8 | |
| ||
public | 11.7 | |
| ||
traffic | 11.4 | |
| ||
journey | 11.3 | |
| ||
boat | 11.2 | |
| ||
industry | 11.1 | |
| ||
metro | 10.9 | |
| ||
road | 10.8 | |
| ||
construction | 10.3 | |
| ||
window | 10.1 | |
| ||
house | 10 | |
| ||
tourism | 9.9 | |
| ||
platform | 9.8 | |
| ||
night | 9.8 | |
| ||
factory | 9.7 | |
| ||
trip | 9.4 | |
| ||
dark | 9.2 | |
| ||
water | 8.7 | |
| ||
ship | 8.7 | |
| ||
track | 8.6 | |
| ||
empty | 8.6 | |
| ||
fast | 8.4 | |
| ||
tourist | 8.2 | |
| ||
steel | 8 | |
| ||
ancient | 7.8 | |
| ||
sunny | 7.8 | |
| ||
structure | 7.7 | |
| ||
port | 7.7 | |
| ||
wall | 7.7 | |
| ||
move | 7.7 | |
| ||
cityscape | 7.6 | |
| ||
buildings | 7.6 | |
| ||
electric | 7.5 | |
| ||
destination | 7.5 | |
| ||
place | 7.5 | |
| ||
vintage | 7.4 | |
| ||
tunnel | 7.4 | |
| ||
historic | 7.3 | |
| ||
tower | 7.2 | |
| ||
interior | 7.1 | |
|
Google
created on 2022-06-04
Building | 89.4 | |
| ||
Black-and-white | 85.2 | |
| ||
Electricity | 82.9 | |
| ||
Gas | 77.9 | |
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City | 77 | |
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Monochrome | 76.7 | |
| ||
Window | 76.1 | |
| ||
Monochrome photography | 74.4 | |
| ||
Facade | 73.9 | |
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Road | 72.6 | |
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Automotive lighting | 72.2 | |
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Midnight | 68.9 | |
| ||
Plant | 68.4 | |
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Street | 67.3 | |
| ||
Asphalt | 66.4 | |
| ||
Bridge | 63.6 | |
| ||
Railway | 63.6 | |
| ||
Stock photography | 63.4 | |
| ||
Public transport | 62.7 | |
| ||
Town | 62.6 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489003/326,315,20,47/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489003/348,316,16,46/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489003/443,332,19,47/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489003/249,239,19,56/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489003/385,309,16,55/full/0/native.jpg)
Person | 95.7% | |
|
Categories
Imagga
cars vehicles | 99.9% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 88.3% | |
| ||
an old photo of a city street | 84% | |
| ||
an old photo of a street | 83.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489003/90,580,29,16/full/0/native.jpg)
ST.
![](https://ids.lib.harvard.edu/ids/iiif/20489003/12,533,106,24/full/0/native.jpg)
ADMITTANCE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/54,560,59,17/full/0/native.jpg)
OFFICE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/16,704,42,15/full/0/native.jpg)
PRIVATE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/54,719,30,13/full/0/native.jpg)
RIDING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/11,720,40,16/full/0/native.jpg)
BICYCLE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/898,325,43,19/full/0/native.jpg)
WARREN
![](https://ids.lib.harvard.edu/ids/iiif/20489003/14,754,57,19/full/0/native.jpg)
POSITIVELY
![](https://ids.lib.harvard.edu/ids/iiif/20489003/61,700,37,16/full/0/native.jpg)
GROUN
![](https://ids.lib.harvard.edu/ids/iiif/20489003/45,739,55,17/full/0/native.jpg)
VEHICLES
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,579,120,22/full/0/native.jpg)
EIGLER ST.
![](https://ids.lib.harvard.edu/ids/iiif/20489003/20,733,42,13/full/0/native.jpg)
ENTERING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,560,114,18/full/0/native.jpg)
ICKET OFFICE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,579,85,21/full/0/native.jpg)
EIGLER
![](https://ids.lib.harvard.edu/ids/iiif/20489003/884,323,71,24/full/0/native.jpg)
19 WARREN ST
![](https://ids.lib.harvard.edu/ids/iiif/20489003/11,718,105,18/full/0/native.jpg)
BICYCLE RIDING OF THE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/70,727,44,15/full/0/native.jpg)
CROSSING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/885,334,12,14/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,562,50,16/full/0/native.jpg)
ICKET
![](https://ids.lib.harvard.edu/ids/iiif/20489003/25,786,75,27/full/0/native.jpg)
Dudley
![](https://ids.lib.harvard.edu/ids/iiif/20489003/96,720,19,9/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/938,325,15,11/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489003/86,722,11,7/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20489003/15,700,95,20/full/0/native.jpg)
PRIVATE GROUN OS
![](https://ids.lib.harvard.edu/ids/iiif/20489003/13,749,105,23/full/0/native.jpg)
POSITIVELY FORBIL DEN
![](https://ids.lib.harvard.edu/ids/iiif/20489003/97,751,20,13/full/0/native.jpg)
DEN
![](https://ids.lib.harvard.edu/ids/iiif/20489003/257,794,20,10/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20489003/897,785,61,19/full/0/native.jpg)
BBBB
![](https://ids.lib.harvard.edu/ids/iiif/20489003/69,751,31,18/full/0/native.jpg)
FORBIL
![](https://ids.lib.harvard.edu/ids/iiif/20489003/279,782,123,27/full/0/native.jpg)
steelworkete
![](https://ids.lib.harvard.edu/ids/iiif/20489003/25,782,377,31/full/0/native.jpg)
Dudley St:Station.progress on steelworkete
![](https://ids.lib.harvard.edu/ids/iiif/20489003/945,280,57,33/full/0/native.jpg)
Framés
![](https://ids.lib.harvard.edu/ids/iiif/20489003/92,701,18,13/full/0/native.jpg)
OS
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,533,119,26/full/0/native.jpg)
D ADMITTANCE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/19,727,94,19/full/0/native.jpg)
ENTERING 10 CROSSING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/853,298,54,28/full/0/native.jpg)
ilter
![](https://ids.lib.harvard.edu/ids/iiif/20489003/89,784,166,28/full/0/native.jpg)
St:Station.progress
![](https://ids.lib.harvard.edu/ids/iiif/20489003/583,790,69,18/full/0/native.jpg)
Jan.l.a9
![](https://ids.lib.harvard.edu/ids/iiif/20489003/0,536,7,23/full/0/native.jpg)
D
![](https://ids.lib.harvard.edu/ids/iiif/20489003/61,733,7,7/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/20489003/-6,281,1014,547/full/0/native.jpg)
ADMITTANCE
ICKET OFFICE
ZEIGLER ST.
24
PRIVATE GROUNDS.
BICYCLE RIDING OF THE
ENTERING
CROSSING
VEHICLES
POSITIVELY FORBIC
Dudley St. Station progress on steelworkete
Jan.1.69
iter
Frames
19 WARREN ST
888 B
![](https://ids.lib.harvard.edu/ids/iiif/20489003/114,581,9,20/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489003/43,604,27,16/full/0/native.jpg)
24
![](https://ids.lib.harvard.edu/ids/iiif/20489003/17,703,45,22/full/0/native.jpg)
PRIVATE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/62,700,51,22/full/0/native.jpg)
GROUNDS
![](https://ids.lib.harvard.edu/ids/iiif/20489003/55,719,32,17/full/0/native.jpg)
RIDING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/22,733,43,18/full/0/native.jpg)
ENTERING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/72,729,44,18/full/0/native.jpg)
CROSSING
![](https://ids.lib.harvard.edu/ids/iiif/20489003/71,751,39,21/full/0/native.jpg)
FORBIC
![](https://ids.lib.harvard.edu/ids/iiif/20489003/94,790,36,21/full/0/native.jpg)
St.
![](https://ids.lib.harvard.edu/ids/iiif/20489003/183,788,73,22/full/0/native.jpg)
progress
![](https://ids.lib.harvard.edu/ids/iiif/20489003/281,787,122,23/full/0/native.jpg)
steelworkete
![](https://ids.lib.harvard.edu/ids/iiif/20489003/859,294,51,33/full/0/native.jpg)
iter
![](https://ids.lib.harvard.edu/ids/iiif/20489003/885,335,18,17/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/20489003/940,324,18,18/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489003/900,789,40,16/full/0/native.jpg)
888
![](https://ids.lib.harvard.edu/ids/iiif/20489003/941,789,17,16/full/0/native.jpg)
B
![](https://ids.lib.harvard.edu/ids/iiif/20489003/13,536,109,25/full/0/native.jpg)
ADMITTANCE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/-1,563,54,20/full/0/native.jpg)
ICKET
![](https://ids.lib.harvard.edu/ids/iiif/20489003/55,561,63,20/full/0/native.jpg)
OFFICE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/-4,581,90,23/full/0/native.jpg)
ZEIGLER
![](https://ids.lib.harvard.edu/ids/iiif/20489003/12,722,43,17/full/0/native.jpg)
BICYCLE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/86,719,15,15/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20489003/99,718,21,16/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20489003/47,740,56,20/full/0/native.jpg)
VEHICLES
![](https://ids.lib.harvard.edu/ids/iiif/20489003/16,755,58,22/full/0/native.jpg)
POSITIVELY
![](https://ids.lib.harvard.edu/ids/iiif/20489003/29,790,68,22/full/0/native.jpg)
Dudley
![](https://ids.lib.harvard.edu/ids/iiif/20489003/118,789,61,22/full/0/native.jpg)
Station
![](https://ids.lib.harvard.edu/ids/iiif/20489003/257,789,22,21/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20489003/584,792,72,18/full/0/native.jpg)
Jan.1.69
![](https://ids.lib.harvard.edu/ids/iiif/20489003/946,281,62,37/full/0/native.jpg)
Frames
![](https://ids.lib.harvard.edu/ids/iiif/20489003/899,326,44,23/full/0/native.jpg)
WARREN