Machine Generated Data
Tags
Amazon
created on 2019-06-05
Awning | 99.5 | |
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Canopy | 99.5 | |
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Urban | 98 | |
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City | 96.4 | |
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Building | 96.4 | |
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High Rise | 96.4 | |
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Town | 96.4 | |
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Neighborhood | 96 | |
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Home Decor | 94.1 | |
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Human | 92 | |
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Person | 92 | |
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Apartment Building | 88.9 | |
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Path | 75.6 | |
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Road | 66.2 | |
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Street | 66.2 | |
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Metropolis | 66.1 | |
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Person | 61.9 | |
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Door | 57.3 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
building | 72.9 | |
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architecture | 59.1 | |
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house | 44.8 | |
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structure | 35.5 | |
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city | 31.7 | |
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facade | 30.8 | |
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old | 30.7 | |
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brick | 30.6 | |
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town | 29.7 | |
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school | 27.5 | |
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window | 27.5 | |
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windows | 26 | |
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home | 25.6 | |
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urban | 23.6 | |
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roof | 22.9 | |
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stone | 21.1 | |
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buildings | 20.8 | |
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houses | 20.4 | |
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history | 19.7 | |
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exterior | 19.4 | |
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street | 19.4 | |
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historic | 19.3 | |
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university | 19.2 | |
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air conditioner | 18.9 | |
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sky | 18.5 | |
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ancient | 17.3 | |
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tourism | 15.7 | |
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college | 15.7 | |
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warehouse | 15.6 | |
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medieval | 15.4 | |
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cooling system | 15.1 | |
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wall | 15.1 | |
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historical | 14.1 | |
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travel | 14.1 | |
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balcony | 13.9 | |
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residential | 13.4 | |
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estate | 13.3 | |
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center | 13.1 | |
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office | 12.4 | |
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scene | 12.1 | |
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construction | 12 | |
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housing | 11.9 | |
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traditional | 11.7 | |
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property | 11.6 | |
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village | 11.6 | |
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apartment | 11.5 | |
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real | 11.4 | |
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mechanism | 11.2 | |
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typical | 10.7 | |
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architectural | 10.6 | |
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modern | 10.5 | |
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residence | 10.4 | |
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tower | 9.9 | |
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destination | 9.4 | |
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dwelling | 9.2 | |
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tourist | 9.1 | |
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homes | 8.9 | |
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built | 8.7 | |
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downtown | 8.7 | |
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england | 8.6 | |
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door | 8.6 | |
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glass | 8.6 | |
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perspective | 8.5 | |
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public house | 8.4 | |
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square | 8.2 | |
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landmark | 8.1 | |
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shutters | 7.9 | |
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antique | 7.8 | |
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device | 7.8 | |
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prison | 7.8 | |
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summer | 7.7 | |
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tree | 7.7 | |
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gymnasium | 7.6 | |
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church | 7.4 | |
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road | 7.2 | |
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Google
created on 2019-06-05
Text | 89 | |
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House | 85.8 | |
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Home | 82.3 | |
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Building | 77.4 | |
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Architecture | 76.3 | |
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History | 71.8 | |
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Room | 71.4 | |
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Facade | 65.3 | |
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Window | 63.8 | |
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Paper product | 57.7 | |
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Microsoft
created on 2019-06-05
building | 100 | |
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window | 96.7 | |
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outdoor | 90.5 | |
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house | 78.2 | |
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brick | 76.5 | |
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black and white | 75.6 | |
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old | 53.2 | |
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apartment building | 50.8 | |
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stone | 16.4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43318321/484,535,10,13/full/0/native.jpg)
AWS Rekognition
Age | 35-53 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Sad | 50.2% |
Calm | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.6% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 99.6% | |
|
Captions
Microsoft
created on 2019-06-05
a fireplace in front of a brick building | 88.6% | |
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a fire place sitting in front of a brick building | 78.6% | |
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a tall brick building sitting next to a fireplace | 78.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43318321/429,809,128,28/full/0/native.jpg)
Entrance
![](https://ids.lib.harvard.edu/ids/iiif/43318321/650,460,138,17/full/0/native.jpg)
DELICATESSEN.
![](https://ids.lib.harvard.edu/ids/iiif/43318321/696,507,26,14/full/0/native.jpg)
FINE
![](https://ids.lib.harvard.edu/ids/iiif/43318321/668,507,28,15/full/0/native.jpg)
308
![](https://ids.lib.harvard.edu/ids/iiif/43318321/667,506,139,17/full/0/native.jpg)
308 FINE GROCERIES300
![](https://ids.lib.harvard.edu/ids/iiif/43318321/723,505,84,17/full/0/native.jpg)
GROCERIES300
![](https://ids.lib.harvard.edu/ids/iiif/43318321/807,538,59,17/full/0/native.jpg)
OROCERES
![](https://ids.lib.harvard.edu/ids/iiif/43318321/818,517,41,18/full/0/native.jpg)
CHOICE
![](https://ids.lib.harvard.edu/ids/iiif/43318321/172,563,49,17/full/0/native.jpg)
MVMs
![](https://ids.lib.harvard.edu/ids/iiif/43318321/71,464,794,377/full/0/native.jpg)
DELICATESSEN
310
TABLE 308 FINE GROCERIES 308 38
GOOMNI
1ЭTOкO
OROCERIES
043268.
Entrance
![](https://ids.lib.harvard.edu/ids/iiif/43318321/650,464,142,19/full/0/native.jpg)
DELICATESSEN
![](https://ids.lib.harvard.edu/ids/iiif/43318321/507,489,18,11/full/0/native.jpg)
310
![](https://ids.lib.harvard.edu/ids/iiif/43318321/631,510,37,18/full/0/native.jpg)
TABLE
![](https://ids.lib.harvard.edu/ids/iiif/43318321/671,513,28,15/full/0/native.jpg)
308
![](https://ids.lib.harvard.edu/ids/iiif/43318321/699,513,29,15/full/0/native.jpg)
FINE
![](https://ids.lib.harvard.edu/ids/iiif/43318321/728,510,64,18/full/0/native.jpg)
GROCERIES
![](https://ids.lib.harvard.edu/ids/iiif/43318321/815,510,48,18/full/0/native.jpg)
38
![](https://ids.lib.harvard.edu/ids/iiif/43318321/824,501,41,15/full/0/native.jpg)
GOOMNI
![](https://ids.lib.harvard.edu/ids/iiif/43318321/823,524,38,14/full/0/native.jpg)
1ЭTOкO
![](https://ids.lib.harvard.edu/ids/iiif/43318321/810,543,55,17/full/0/native.jpg)
OROCERIES
![](https://ids.lib.harvard.edu/ids/iiif/43318321/71,754,46,11/full/0/native.jpg)
043268.
![](https://ids.lib.harvard.edu/ids/iiif/43318321/443,813,113,28/full/0/native.jpg)
Entrance