Machine Generated Data
Tags
Amazon
created on 2022-06-04
Walkway | 97.7 | |
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Path | 97.7 | |
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Metropolis | 88.9 | |
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Building | 88.9 | |
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Urban | 88.9 | |
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City | 88.9 | |
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Town | 88.9 | |
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Sidewalk | 75.7 | |
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Pavement | 75.7 | |
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Architecture | 75 | |
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Road | 74.4 | |
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Downtown | 72.2 | |
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Neighborhood | 71.3 | |
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Smoke | 67.7 | |
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Transportation | 63.6 | |
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Vehicle | 61.2 | |
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Pedestrian | 60 | |
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Wall | 57 | |
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Tarmac | 56.7 | |
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Asphalt | 56.7 | |
|
Imagga
created on 2022-06-04
shopping cart | 48.3 | |
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handcart | 39.2 | |
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wheeled vehicle | 32.8 | |
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old | 23.7 | |
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building | 23.6 | |
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architecture | 23.3 | |
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structure | 23.1 | |
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sky | 21.1 | |
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landscape | 20.8 | |
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city | 20 | |
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container | 19.4 | |
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travel | 16.9 | |
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history | 13.4 | |
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conveyance | 13.3 | |
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tree | 13.2 | |
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tourism | 13.2 | |
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historic | 11.9 | |
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trees | 11.6 | |
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night | 11.5 | |
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historical | 11.3 | |
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dark | 10.9 | |
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house | 10.8 | |
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stone | 10.6 | |
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rock | 10.4 | |
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ancient | 10.4 | |
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fountain | 10.4 | |
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construction | 10.3 | |
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light | 10 | |
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landmark | 9.9 | |
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vintage | 9.9 | |
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tower | 9.8 | |
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rural | 9.7 | |
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sun | 9.7 | |
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fog | 9.7 | |
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forest | 9.6 | |
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industry | 9.4 | |
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water | 9.3 | |
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bridge | 9.3 | |
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town | 9.3 | |
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support | 9.1 | |
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environment | 9 | |
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step | 9 | |
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scenery | 9 | |
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snow | 9 | |
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antique | 8.7 | |
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scene | 8.7 | |
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medieval | 8.6 | |
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wall | 8.4 | |
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black | 8.4 | |
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outdoor | 8.4 | |
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street | 8.3 | |
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device | 8.2 | |
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industrial | 8.2 | |
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dirty | 8.1 | |
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road | 8.1 | |
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scenic | 7.9 | |
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castle | 7.9 | |
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urban | 7.9 | |
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destruction | 7.8 | |
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winter | 7.7 | |
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wallpaper | 7.7 | |
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park | 7.6 | |
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cityscape | 7.6 | |
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path | 7.6 | |
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sunset | 7.2 | |
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summer | 7.1 | |
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day | 7.1 | |
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country | 7 | |
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season | 7 | |
|
Google
created on 2022-06-04
Building | 95.1 | |
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Black | 89.6 | |
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Infrastructure | 88.6 | |
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Road surface | 86.9 | |
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Black-and-white | 86.1 | |
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Style | 83.9 | |
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Neighbourhood | 82.3 | |
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Line | 81.9 | |
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Asphalt | 78.7 | |
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City | 78.3 | |
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Road | 76.8 | |
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Monochrome | 76.6 | |
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Automotive lighting | 76.2 | |
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Tints and shades | 75.6 | |
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Monochrome photography | 74.7 | |
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Electricity | 74.7 | |
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Metropolis | 74.3 | |
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Facade | 73.4 | |
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Alley | 73 | |
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Sky | 72.8 | |
|
Color Analysis
Categories
Imagga
nature landscape | 90.2% | |
| ||
paintings art | 5.2% | |
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streetview architecture | 3.8% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a city street | 90.9% | |
| ||
an old photo of a city | 90.8% | |
| ||
an old photo of a street | 88.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489030/44,755,82,22/full/0/native.jpg)
LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20489030/631,435,60,11/full/0/native.jpg)
TORAGE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/44,755,312,22/full/0/native.jpg)
LOOKING NORTHERLY ONE TREMONT
![](https://ids.lib.harvard.edu/ids/iiif/20489030/627,404,71,17/full/0/native.jpg)
J.M.HATCH,
![](https://ids.lib.harvard.edu/ids/iiif/20489030/133,761,98,15/full/0/native.jpg)
NORTHERLY
![](https://ids.lib.harvard.edu/ids/iiif/20489030/241,764,29,11/full/0/native.jpg)
ONE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/627,421,64,11/full/0/native.jpg)
AUCTIONE ER
![](https://ids.lib.harvard.edu/ids/iiif/20489030/271,756,84,19/full/0/native.jpg)
TREMONT
![](https://ids.lib.harvard.edu/ids/iiif/20489030/369,757,24,16/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20489030/556,418,24,20/full/0/native.jpg)
SIBICE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/550,399,71,41/full/0/native.jpg)
SIBICE FOR FIRATIRE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/888,756,29,11/full/0/native.jpg)
NPS
![](https://ids.lib.harvard.edu/ids/iiif/20489030/569,399,48,36/full/0/native.jpg)
FOR FIRATIRE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/417,753,74,20/full/0/native.jpg)
524
![](https://ids.lib.harvard.edu/ids/iiif/20489030/45,402,897,378/full/0/native.jpg)
Suit
LOOKING NORTHERLY ON
STRICE FOR FURNITURE
J.M.HATCH.
UCTIONEER
TORAGE
AGABON
BERTA
![](https://ids.lib.harvard.edu/ids/iiif/20489030/250,543,17,53/full/0/native.jpg)
Suit
![](https://ids.lib.harvard.edu/ids/iiif/20489030/45,758,83,21/full/0/native.jpg)
LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20489030/136,759,99,21/full/0/native.jpg)
NORTHERLY
![](https://ids.lib.harvard.edu/ids/iiif/20489030/243,760,26,19/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489030/559,420,26,23/full/0/native.jpg)
STRICE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/576,415,18,19/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/20489030/583,402,36,29/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/629,407,70,17/full/0/native.jpg)
J.M.HATCH
![](https://ids.lib.harvard.edu/ids/iiif/20489030/697,407,7,16/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489030/634,420,60,17/full/0/native.jpg)
UCTIONEER
![](https://ids.lib.harvard.edu/ids/iiif/20489030/633,437,56,15/full/0/native.jpg)
TORAGE
![](https://ids.lib.harvard.edu/ids/iiif/20489030/828,528,61,16/full/0/native.jpg)
AGABON
![](https://ids.lib.harvard.edu/ids/iiif/20489030/878,571,64,14/full/0/native.jpg)
BERTA