Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 96.3 | |
| ||
Human | 96.3 | |
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Person | 90.4 | |
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Person | 90.3 | |
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Building | 88.7 | |
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Person | 83.4 | |
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Transportation | 75.6 | |
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Vehicle | 74.8 | |
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Train | 73.4 | |
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Person | 72.6 | |
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Person | 72.5 | |
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Urban | 70.5 | |
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Car | 67.5 | |
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Automobile | 67.5 | |
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City | 62.4 | |
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Town | 62.4 | |
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Outdoors | 60.7 | |
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Person | 59.5 | |
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Tarmac | 58.6 | |
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Asphalt | 58.6 | |
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Person | 57.1 | |
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Architecture | 56.7 | |
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Nature | 55.8 | |
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Factory | 55.2 | |
|
Imagga
created on 2022-06-04
equipment | 27 | |
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device | 23 | |
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building | 20.3 | |
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machine | 18.6 | |
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architecture | 18.1 | |
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jukebox | 16.3 | |
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city | 15.8 | |
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electronic equipment | 15.8 | |
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wheeled vehicle | 15.2 | |
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home appliance | 15.2 | |
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toaster | 14.2 | |
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urban | 14 | |
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construction | 13.7 | |
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travel | 13.4 | |
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appliance | 13.1 | |
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record player | 13 | |
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metal | 12.9 | |
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vehicle | 12.9 | |
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wagon | 12.8 | |
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transportation | 12.5 | |
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container | 12.3 | |
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pay-phone | 12.1 | |
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kitchen appliance | 12 | |
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generator | 11.7 | |
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steel | 11.5 | |
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structure | 11.2 | |
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telephone | 11.1 | |
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house | 10.9 | |
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water | 10.7 | |
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old | 10.4 | |
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technology | 10.4 | |
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business | 10.3 | |
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black | 10.2 | |
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modern | 9.8 | |
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station | 9.4 | |
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street | 9.2 | |
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shopping cart | 8.6 | |
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industry | 8.5 | |
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design | 8.4 | |
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dishwasher | 8.4 | |
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sky | 8.3 | |
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transport | 8.2 | |
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industrial | 8.2 | |
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white goods | 8.1 | |
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boat | 7.7 | |
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power | 7.6 | |
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ocean | 7.5 | |
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office | 7.4 | |
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tourism | 7.4 | |
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exterior | 7.4 | |
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shopping | 7.3 | |
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stove | 7.3 | |
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home | 7.2 | |
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science | 7.1 | |
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center | 7.1 | |
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interior | 7.1 | |
|
Google
created on 2022-06-04
Motor vehicle | 91.7 | |
| ||
Vehicle | 86.4 | |
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Building | 78.4 | |
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Machine | 73.6 | |
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Monochrome photography | 72.5 | |
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Monochrome | 72.1 | |
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Factory | 68.6 | |
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Metal | 67.9 | |
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Auto part | 67 | |
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Automotive exterior | 62.6 | |
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Engineering | 61.9 | |
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Steel | 56.1 | |
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History | 55.1 | |
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Classic | 53.8 | |
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Transport | 52.8 | |
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Watercraft | 52 | |
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Rectangle | 51.2 | |
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Automotive wheel system | 51.2 | |
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City | 50.5 | |
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Industry | 50.4 | |
|
Microsoft
created on 2022-06-04
text | 99.1 | |
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black and white | 96.4 | |
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sketch | 72.7 | |
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drawing | 71.1 | |
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building | 68.9 | |
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monochrome | 64.8 | |
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store | 32.6 | |
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several | 11.3 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 99.5% | |
|
Captions
Microsoft
created on 2022-06-04
a store inside of a building | 83.3% | |
| ||
a display in a store | 70.5% | |
| ||
a store display case | 64.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489296/168,749,76,15/full/0/native.jpg)
SUMMER
![](https://ids.lib.harvard.edu/ids/iiif/20489296/581,194,9,6/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489296/140,753,20,11/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20489296/606,179,12,11/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489296/543,178,76,17/full/0/native.jpg)
4HAWLEY ST
![](https://ids.lib.harvard.edu/ids/iiif/20489296/543,178,63,17/full/0/native.jpg)
4HAWLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/463,748,45,16/full/0/native.jpg)
2-58
![](https://ids.lib.harvard.edu/ids/iiif/20489296/462,748,81,16/full/0/native.jpg)
2-58 P.M.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/513,748,29,14/full/0/native.jpg)
P.M.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/936,199,49,17/full/0/native.jpg)
30-32
![](https://ids.lib.harvard.edu/ids/iiif/20489296/95,751,39,12/full/0/native.jpg)
COR.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/235,175,24,15/full/0/native.jpg)
FISK
![](https://ids.lib.harvard.edu/ids/iiif/20489296/268,749,68,15/full/0/native.jpg)
HAWLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/554,171,50,10/full/0/native.jpg)
ENTRANCE
![](https://ids.lib.harvard.edu/ids/iiif/20489296/592,192,24,8/full/0/native.jpg)
RIGHT
![](https://ids.lib.harvard.edu/ids/iiif/20489296/248,750,17,13/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20489296/12,742,67,23/full/0/native.jpg)
#186-D.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/219,202,53,14/full/0/native.jpg)
84HAWLEY ST
![](https://ids.lib.harvard.edu/ids/iiif/20489296/343,748,37,15/full/0/native.jpg)
STS.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/885,213,19,110/full/0/native.jpg)
KENNEDYS
![](https://ids.lib.harvard.edu/ids/iiif/20489296/220,176,15,15/full/0/native.jpg)
G.R.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/550,192,66,12/full/0/native.jpg)
DOOR ON RIGHT
![](https://ids.lib.harvard.edu/ids/iiif/20489296/220,173,53,18/full/0/native.jpg)
G.R. FISK CO
![](https://ids.lib.harvard.edu/ids/iiif/20489296/550,194,29,10/full/0/native.jpg)
DOOR
![](https://ids.lib.harvard.edu/ids/iiif/20489296/254,173,18,18/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/20489296/875,738,93,25/full/0/native.jpg)
JULY8,1912
![](https://ids.lib.harvard.edu/ids/iiif/20489296/534,152,86,20/full/0/native.jpg)
CR.FISK & CO.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/221,218,11,5/full/0/native.jpg)
FC
![](https://ids.lib.harvard.edu/ids/iiif/20489296/14,33,1000,739/full/0/native.jpg)
*186-P.
50000
www.
G.R.FISK CO
ENTRANCE
84HAWLEY ST
FAT
COR. OF SUMMER & HAWLEY STS.
**********
C.R.FISK&CO-
ENTRANCE
4HAWLEY ST
DOOR ON RIGHT
2-58 P.M.
HENNEATS
30-32
PANTAN
JULY 8,1912.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/14,748,20,21/full/0/native.jpg)
*
![](https://ids.lib.harvard.edu/ids/iiif/20489296/30,749,34,22/full/0/native.jpg)
186
![](https://ids.lib.harvard.edu/ids/iiif/20489296/58,750,13,20/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489296/61,750,17,21/full/0/native.jpg)
P
![](https://ids.lib.harvard.edu/ids/iiif/20489296/70,751,11,20/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/300,33,30,11/full/0/native.jpg)
50000
![](https://ids.lib.harvard.edu/ids/iiif/20489296/303,170,30,10/full/0/native.jpg)
www
![](https://ids.lib.harvard.edu/ids/iiif/20489296/220,174,41,22/full/0/native.jpg)
G.R.FISK
![](https://ids.lib.harvard.edu/ids/iiif/20489296/260,175,17,20/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/20489296/231,195,34,11/full/0/native.jpg)
ENTRANCE
![](https://ids.lib.harvard.edu/ids/iiif/20489296/220,203,46,18/full/0/native.jpg)
84HAWLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/263,204,13,16/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489296/222,219,45,10/full/0/native.jpg)
FAT
![](https://ids.lib.harvard.edu/ids/iiif/20489296/97,750,36,19/full/0/native.jpg)
COR
![](https://ids.lib.harvard.edu/ids/iiif/20489296/141,750,22,18/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20489296/169,750,76,18/full/0/native.jpg)
SUMMER
![](https://ids.lib.harvard.edu/ids/iiif/20489296/249,750,16,18/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/20489296/271,749,69,18/full/0/native.jpg)
HAWLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/343,749,35,18/full/0/native.jpg)
STS
![](https://ids.lib.harvard.edu/ids/iiif/20489296/420,166,44,10/full/0/native.jpg)
**********
![](https://ids.lib.harvard.edu/ids/iiif/20489296/536,155,60,21/full/0/native.jpg)
C.R.FISK
![](https://ids.lib.harvard.edu/ids/iiif/20489296/545,179,63,19/full/0/native.jpg)
4HAWLEY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/561,194,21,14/full/0/native.jpg)
DOOR
![](https://ids.lib.harvard.edu/ids/iiif/20489296/581,194,14,12/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489296/593,192,27,14/full/0/native.jpg)
RIGHT
![](https://ids.lib.harvard.edu/ids/iiif/20489296/465,750,45,19/full/0/native.jpg)
2-58
![](https://ids.lib.harvard.edu/ids/iiif/20489296/513,748,34,19/full/0/native.jpg)
P.M.
![](https://ids.lib.harvard.edu/ids/iiif/20489296/885,215,26,109/full/0/native.jpg)
HENNEATS
![](https://ids.lib.harvard.edu/ids/iiif/20489296/936,198,52,22/full/0/native.jpg)
30-32
![](https://ids.lib.harvard.edu/ids/iiif/20489296/950,361,64,15/full/0/native.jpg)
PANTAN
![](https://ids.lib.harvard.edu/ids/iiif/20489296/878,743,40,21/full/0/native.jpg)
JULY
![](https://ids.lib.harvard.edu/ids/iiif/20489296/914,742,52,21/full/0/native.jpg)
8,1912