Machine Generated Data
Tags
Amazon
created on 2023-10-06
Path | 99.7 | |
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Adult | 99.5 | |
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Male | 99.5 | |
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Man | 99.5 | |
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Person | 99.5 | |
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Walking | 97.7 | |
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Sidewalk | 97.5 | |
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Animal | 92.7 | |
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Canine | 92.7 | |
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Dog | 92.7 | |
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Mammal | 92.7 | |
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Pet | 92.7 | |
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Door | 89.1 | |
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Clothing | 84.3 | |
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Hat | 84.3 | |
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Pants | 68.7 | |
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Footwear | 68.5 | |
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Shoe | 68.5 | |
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Accessories | 66 | |
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City | 57.8 | |
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Walkway | 57.1 | |
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Back | 56.5 | |
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Body Part | 56.5 | |
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Bag | 56.2 | |
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Handbag | 56.2 | |
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Road | 55.7 | |
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Street | 55.7 | |
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Urban | 55.7 | |
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Stick | 55.1 | |
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Shorts | 55 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
barbershop | 83 | |
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door | 67.2 | |
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shop | 66.1 | |
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sliding door | 51.5 | |
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mercantile establishment | 50.1 | |
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place of business | 33.4 | |
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movable barrier | 31.6 | |
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wall | 26.8 | |
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old | 23.7 | |
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barrier | 23.7 | |
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building | 20.6 | |
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window | 20.2 | |
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architecture | 19.5 | |
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house | 18.4 | |
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establishment | 17.3 | |
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brick | 17 | |
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street | 15.6 | |
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city | 14.1 | |
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empty | 13.7 | |
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structure | 13.7 | |
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dirty | 13.6 | |
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wood | 13.3 | |
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garage | 12.8 | |
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stone | 12.7 | |
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travel | 11.3 | |
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ancient | 11.2 | |
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texture | 11.1 | |
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exterior | 11.1 | |
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obstruction | 11.1 | |
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aged | 10.9 | |
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entrance | 10.6 | |
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windows | 10.6 | |
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antique | 10.4 | |
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grunge | 10.2 | |
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frame | 10 | |
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road | 9.9 | |
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vintage | 9.9 | |
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wooden | 9.7 | |
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construction | 9.4 | |
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sign | 9 | |
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transportation | 9 | |
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metal | 8.9 | |
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urban | 8.7 | |
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business | 8.5 | |
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design | 8.4 | |
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room | 8.3 | |
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historic | 8.3 | |
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home | 8 | |
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abandoned | 7.8 | |
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art | 7.8 | |
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glass | 7.8 | |
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nobody | 7.8 | |
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public | 7.8 | |
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weathered | 7.6 | |
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light | 7.4 | |
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transport | 7.3 | |
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history | 7.2 | |
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information | 7.1 | |
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Google
created on 2018-05-11
photograph | 95.2 | |
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black | 94.9 | |
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black and white | 89.5 | |
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infrastructure | 89.5 | |
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snapshot | 81.8 | |
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photography | 80.3 | |
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standing | 76.2 | |
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monochrome photography | 73.8 | |
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window | 70.1 | |
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street | 66.7 | |
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road | 66.4 | |
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monochrome | 66.3 | |
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house | 60.1 | |
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door | 58 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 93% | |
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interior objects | 4.2% | |
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cars vehicles | 1.3% | |
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Captions
Microsoft
created on 2018-05-11
a man standing in front of a building | 94.1% | |
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a man standing in front of a door | 93.6% | |
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a man standing in front of a brick building | 91.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43159656/117,237,128,31/full/0/native.jpg)
WASKOM
![](https://ids.lib.harvard.edu/ids/iiif/43159656/43,237,202,34/full/0/native.jpg)
J.G. WASKOM
![](https://ids.lib.harvard.edu/ids/iiif/43159656/43,243,66,28/full/0/native.jpg)
J.G.
![](https://ids.lib.harvard.edu/ids/iiif/43159656/158,270,17,11/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/43159656/182,266,31,13/full/0/native.jpg)
LAW
![](https://ids.lib.harvard.edu/ids/iiif/43159656/78,266,134,19/full/0/native.jpg)
ATTORNEY AT LAW
![](https://ids.lib.harvard.edu/ids/iiif/43159656/78,268,75,17/full/0/native.jpg)
ATTORNEY
![](https://ids.lib.harvard.edu/ids/iiif/43159656/309,57,203,74/full/0/native.jpg)
HOTEL
![](https://ids.lib.harvard.edu/ids/iiif/43159656/236,273,17,17/full/0/native.jpg)
+
![](https://ids.lib.harvard.edu/ids/iiif/43159656/411,23,48,13/full/0/native.jpg)
STAIDS
![](https://ids.lib.harvard.edu/ids/iiif/43159656/947,322,37,13/full/0/native.jpg)
TRAPES
![](https://ids.lib.harvard.edu/ids/iiif/43159656/943,306,38,15/full/0/native.jpg)
GREEN
![](https://ids.lib.harvard.edu/ids/iiif/43159656/385,23,74,13/full/0/native.jpg)
LD STAIDS
![](https://ids.lib.harvard.edu/ids/iiif/43159656/385,25,16,11/full/0/native.jpg)
LD
![](https://ids.lib.harvard.edu/ids/iiif/43159656/309,57,203,74/full/0/native.jpg)
HOTEL INO
![](https://ids.lib.harvard.edu/ids/iiif/43159656/945,294,36,16/full/0/native.jpg)
CELERY
![](https://ids.lib.harvard.edu/ids/iiif/43159656/352,76,29,11/full/0/native.jpg)
INO
![](https://ids.lib.harvard.edu/ids/iiif/43159656/946,280,45,15/full/0/native.jpg)
LETTUEC
![](https://ids.lib.harvard.edu/ids/iiif/43159656/947,263,52,17/full/0/native.jpg)
BUILLAR
![](https://ids.lib.harvard.edu/ids/iiif/43159656/948,232,19,13/full/0/native.jpg)
Soa
![](https://ids.lib.harvard.edu/ids/iiif/43159656/947,231,51,15/full/0/native.jpg)
Soa PULE
![](https://ids.lib.harvard.edu/ids/iiif/43159656/950,247,16,11/full/0/native.jpg)
40
![](https://ids.lib.harvard.edu/ids/iiif/43159656/950,247,49,11/full/0/native.jpg)
40 Compr
![](https://ids.lib.harvard.edu/ids/iiif/43159656/970,247,28,11/full/0/native.jpg)
Compr
![](https://ids.lib.harvard.edu/ids/iiif/43159656/971,234,26,11/full/0/native.jpg)
PULE