Machine Generated Data
Tags
Amazon
created on 2019-11-19
Person | 99.2 | |
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Human | 99.2 | |
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Machine | 98.4 | |
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Wheel | 98.4 | |
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City | 96.5 | |
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Building | 96.5 | |
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Urban | 96.5 | |
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Town | 96.5 | |
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Metropolis | 96.5 | |
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Wheel | 94.6 | |
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Road | 92.2 | |
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Street | 92.2 | |
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Drawing | 87.4 | |
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Art | 87.4 | |
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Wheel | 85.6 | |
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Pedestrian | 82.9 | |
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Transportation | 80.1 | |
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Vehicle | 80.1 | |
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Architecture | 79.1 | |
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Downtown | 78.2 | |
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Neighborhood | 73.3 | |
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Sketch | 67.1 | |
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High Rise | 61.6 | |
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Tower | 60.8 | |
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Office Building | 59.5 | |
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Housing | 57.2 | |
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Intersection | 57.2 | |
|
Clarifai
created on 2019-11-19
architecture | 98.4 | |
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street | 98.4 | |
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building | 97.7 | |
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city | 97.6 | |
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no person | 95 | |
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urban | 94.2 | |
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people | 93.3 | |
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travel | 92.9 | |
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vehicle | 92.8 | |
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town | 91.1 | |
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business | 90.7 | |
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old | 89.9 | |
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outdoors | 89.8 | |
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monochrome | 88.4 | |
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window | 88.3 | |
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house | 88.1 | |
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transportation system | 87.5 | |
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facade | 86.9 | |
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expression | 84.8 | |
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art | 84.6 | |
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Imagga
created on 2019-11-19
architecture | 89.6 | |
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building | 68.6 | |
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facade | 46.7 | |
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palace | 44.6 | |
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city | 43.4 | |
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house | 38 | |
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structure | 32.9 | |
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residence | 30.1 | |
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travel | 27.5 | |
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old | 27.2 | |
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tower | 26 | |
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historic | 25.7 | |
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urban | 25.4 | |
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exterior | 25 | |
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buildings | 23.7 | |
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sky | 23 | |
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street | 21.2 | |
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architectural | 19.3 | |
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office | 19.2 | |
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landmark | 19 | |
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history | 18.8 | |
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town | 18.6 | |
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window | 18.6 | |
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tourism | 18.2 | |
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stone | 17.8 | |
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windows | 16.4 | |
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monument | 15.9 | |
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dwelling | 15.6 | |
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ancient | 15.6 | |
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england | 15.3 | |
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university | 14 | |
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construction | 13.7 | |
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tourist | 13.6 | |
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cityscape | 13.3 | |
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wall | 12.9 | |
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skyscraper | 12.8 | |
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balcony | 12.6 | |
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capital | 12.4 | |
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historical | 12.3 | |
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famous | 12.1 | |
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column | 12 | |
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home | 12 | |
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culture | 11.1 | |
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hall | 11.1 | |
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vintage | 10.8 | |
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arch | 10.6 | |
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detail | 10.5 | |
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sketch | 10.2 | |
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modern | 9.8 | |
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new | 9.7 | |
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royal | 9.7 | |
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scenic | 9.7 | |
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attraction | 9.6 | |
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church | 9.3 | |
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art | 9.2 | |
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housing | 9.2 | |
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square | 9.1 | |
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roof | 9 | |
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houses | 8.7 | |
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antique | 8.7 | |
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united | 8.6 | |
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classic | 8.4 | |
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facades | 7.9 | |
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castle | 7.8 | |
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scene | 7.8 | |
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glass | 7.8 | |
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heritage | 7.7 | |
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downtown | 7.7 | |
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real | 7.6 | |
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cathedral | 7.6 | |
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college | 7.4 | |
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dome | 7.1 | |
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marble | 7 | |
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Google
created on 2019-11-19
Motor vehicle | 96.3 | |
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Architecture | 82.8 | |
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Building | 76.4 | |
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Vehicle | 73.8 | |
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Car | 70.8 | |
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Sketch | 52.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14177689/177,788,6,10/full/0/native.jpg)
AWS Rekognition
Age | 10-20 |
Gender | Female, 50.4% |
Happy | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Sad | 50.2% |
Angry | 49.5% |
Fear | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 99.8% | |
|
Captions
Microsoft
created on 2019-11-19
a black and white photo of a building | 96.3% | |
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a black and white photo of a city street | 94.4% | |
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a black and white photo of a street | 94.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14177689/380,739,67,16/full/0/native.jpg)
LINDLEUM
![](https://ids.lib.harvard.edu/ids/iiif/14177689/296,735,71,19/full/0/native.jpg)
CARPETS
![](https://ids.lib.harvard.edu/ids/iiif/14177689/243,732,204,20/full/0/native.jpg)
PPrteehra CARPETS LINDLEUM
![](https://ids.lib.harvard.edu/ids/iiif/14177689/263,569,33,15/full/0/native.jpg)
ACE HY
![](https://ids.lib.harvard.edu/ids/iiif/14177689/354,798,54,11/full/0/native.jpg)
COVEO
![](https://ids.lib.harvard.edu/ids/iiif/14177689/457,830,56,13/full/0/native.jpg)
XP1BS3
![](https://ids.lib.harvard.edu/ids/iiif/14177689/360,778,44,17/full/0/native.jpg)
inattha
![](https://ids.lib.harvard.edu/ids/iiif/14177689/242,739,50,12/full/0/native.jpg)
PPrteehra
![](https://ids.lib.harvard.edu/ids/iiif/14177689/307,834,22,12/full/0/native.jpg)
si
![](https://ids.lib.harvard.edu/ids/iiif/14177689/307,828,55,16/full/0/native.jpg)
si BNY
![](https://ids.lib.harvard.edu/ids/iiif/14177689/333,829,29,10/full/0/native.jpg)
BNY
![](https://ids.lib.harvard.edu/ids/iiif/14177689/251,725,32,10/full/0/native.jpg)
CAROT
![](https://ids.lib.harvard.edu/ids/iiif/14177689/205,570,315,291/full/0/native.jpg)
ACE HY
UNOTIPING
LINOLE UM
r CARPETS
LINOLEUM
Winette
XPLESS
SERVICE
![](https://ids.lib.harvard.edu/ids/iiif/14177689/263,571,21,18/full/0/native.jpg)
ACE
![](https://ids.lib.harvard.edu/ids/iiif/14177689/266,587,34,12/full/0/native.jpg)
UNOTIPING
![](https://ids.lib.harvard.edu/ids/iiif/14177689/205,727,37,17/full/0/native.jpg)
LINOLE
![](https://ids.lib.harvard.edu/ids/iiif/14177689/239,726,15,15/full/0/native.jpg)
UM
![](https://ids.lib.harvard.edu/ids/iiif/14177689/300,742,68,15/full/0/native.jpg)
CARPETS
![](https://ids.lib.harvard.edu/ids/iiif/14177689/385,744,65,16/full/0/native.jpg)
LINOLEUM
![](https://ids.lib.harvard.edu/ids/iiif/14177689/281,570,20,21/full/0/native.jpg)
HY
![](https://ids.lib.harvard.edu/ids/iiif/14177689/259,739,16,17/full/0/native.jpg)
r
![](https://ids.lib.harvard.edu/ids/iiif/14177689/364,781,46,20/full/0/native.jpg)
Winette
![](https://ids.lib.harvard.edu/ids/iiif/14177689/456,832,64,19/full/0/native.jpg)
XPLESS
![](https://ids.lib.harvard.edu/ids/iiif/14177689/461,843,55,18/full/0/native.jpg)
SERVICE