Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 99.1 | |
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Human | 99.1 | |
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Interior Design | 98.2 | |
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Indoors | 98.2 | |
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Person | 96.6 | |
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Person | 91.3 | |
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Person | 88.4 | |
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Room | 84.8 | |
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Person | 83.5 | |
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Person | 82.8 | |
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Chair | 80.6 | |
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Furniture | 80.6 | |
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Advertisement | 76.4 | |
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Collage | 76.2 | |
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Poster | 76.2 | |
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Person | 75.6 | |
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Housing | 73.5 | |
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Building | 73.5 | |
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Person | 69.1 | |
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Face | 67.2 | |
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Person | 66.1 | |
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Person | 66.1 | |
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Table | 65 | |
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Text | 64.6 | |
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Dining Table | 64 | |
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Bedroom | 63.7 | |
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Apparel | 63.3 | |
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Clothing | 63.3 | |
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Person | 61.5 | |
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Living Room | 61.4 | |
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Person | 61.1 | |
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Female | 57.7 | |
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Person | 50.8 | |
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Clarifai
created on 2023-10-25
people | 98.6 | |
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monochrome | 98.1 | |
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illustration | 97.8 | |
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man | 95.6 | |
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adult | 93.7 | |
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technology | 91.4 | |
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street | 90.3 | |
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chair | 89.9 | |
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business | 89.6 | |
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furniture | 87 | |
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transportation system | 86.8 | |
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architecture | 85.4 | |
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vector | 85 | |
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indoors | 83 | |
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city | 82.2 | |
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group | 80.4 | |
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modern | 80.2 | |
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communication | 79 | |
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house | 77.3 | |
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desktop | 76.9 | |
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Imagga
created on 2022-01-15
dishwasher | 74.3 | |
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white goods | 56.9 | |
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home appliance | 42.9 | |
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architecture | 39.1 | |
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appliance | 32.4 | |
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building | 31.9 | |
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structure | 31.3 | |
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construction | 29.9 | |
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modern | 29.4 | |
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interior | 24.8 | |
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design | 24.2 | |
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urban | 23.6 | |
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city | 23.3 | |
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glass | 21 | |
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house | 20.9 | |
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office | 19.7 | |
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business | 19.4 | |
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3d | 17.8 | |
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balcony | 16.9 | |
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metal | 16.1 | |
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plan | 16.1 | |
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perspective | 16 | |
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newspaper | 15.9 | |
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industry | 14.5 | |
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home | 14.4 | |
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durables | 14.3 | |
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sketch | 13.8 | |
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inside | 13.8 | |
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window | 13.7 | |
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architect | 13.5 | |
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apartment | 13.4 | |
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drawing | 12.9 | |
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blueprint | 12.7 | |
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product | 12.2 | |
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empty | 12 | |
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wall | 12 | |
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project | 11.5 | |
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steel | 11.5 | |
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roof | 11.4 | |
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indoors | 11.4 | |
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light | 11.4 | |
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hall | 11.2 | |
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technology | 11.1 | |
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industrial | 10.9 | |
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reflection | 10.6 | |
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creation | 10.5 | |
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development | 10.5 | |
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floor | 10.2 | |
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frame | 10.2 | |
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indoor | 10 | |
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new | 9.7 | |
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room | 9.1 | |
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bank | 9 | |
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futuristic | 9 | |
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ceiling | 8.8 | |
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center | 8.8 | |
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airport | 8.8 | |
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built | 8.7 | |
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windows | 8.6 | |
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work | 8.6 | |
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paper | 8.6 | |
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engineering | 8.6 | |
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finance | 8.4 | |
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equipment | 8.4 | |
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town | 8.3 | |
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sky | 8.3 | |
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science | 8 | |
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staircase | 7.9 | |
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scene | 7.8 | |
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graph | 7.7 | |
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diagram | 7.7 | |
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residential | 7.7 | |
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buildings | 7.6 | |
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element | 7.4 | |
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style | 7.4 | |
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daily | 7.4 | |
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banking | 7.4 | |
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digital | 7.3 | |
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tower | 7.2 | |
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Google
created on 2022-01-15
Photograph | 94.2 | |
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White | 92.2 | |
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Black | 89.5 | |
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Black-and-white | 85.2 | |
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Style | 84 | |
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Line | 82.2 | |
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Font | 82 | |
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Monochrome photography | 77.9 | |
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Monochrome | 76.4 | |
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Engineering | 75.1 | |
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Snapshot | 74.3 | |
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Art | 70.7 | |
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Machine | 69.8 | |
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Room | 68.7 | |
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Rectangle | 67.7 | |
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Metal | 66.7 | |
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Stock photography | 66 | |
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Illustration | 60.8 | |
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Industry | 59.6 | |
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Building | 59.6 | |
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Microsoft
created on 2022-01-15
text | 97.9 | |
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indoor | 89.7 | |
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ship | 84.7 | |
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black and white | 65.9 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815773/103,663,61,193/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/325,659,48,172/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/130,225,36,140/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/266,301,30,52/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/73,248,21,67/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/296,236,35,115/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/238,747,27,75/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/182,303,25,54/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/92,247,22,75/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/256,303,20,49/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/298,742,22,49/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/112,281,22,53/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18815773/261,739,20,46/full/0/native.jpg)
Person | 99.1% | |
|
Categories
Imagga
text visuals | 50.3% | |
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paintings art | 33.2% | |
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interior objects | 14.4% | |
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streetview architecture | 2% | |
|
Captions
Microsoft
created on 2022-01-15
a glass display case | 29.4% | |
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a close up of a glass display case | 28.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815773/488,935,8,33/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18815773/12,145,9,8/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/18815773/396,125,34,20/full/0/native.jpg)
CIRCUS
![](https://ids.lib.harvard.edu/ids/iiif/18815773/488,990,8,14/full/0/native.jpg)
TY
![](https://ids.lib.harvard.edu/ids/iiif/18815773/17,714,10,7/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/18815773/376,94,43,50/full/0/native.jpg)
SELLS.
![](https://ids.lib.harvard.edu/ids/iiif/18815773/473,247,25,106/full/0/native.jpg)
57990.
![](https://ids.lib.harvard.edu/ids/iiif/18815773/475,672,24,64/full/0/native.jpg)
579
![](https://ids.lib.harvard.edu/ids/iiif/18815773/394,116,31,19/full/0/native.jpg)
LOTO
![](https://ids.lib.harvard.edu/ids/iiif/18815773/486,623,7,44/full/0/native.jpg)
S'AFETY
![](https://ids.lib.harvard.edu/ids/iiif/18815773/474,672,25,114/full/0/native.jpg)
579 89.
![](https://ids.lib.harvard.edu/ids/iiif/18815773/478,744,19,41/full/0/native.jpg)
89.
![](https://ids.lib.harvard.edu/ids/iiif/18815773/269,157,22,30/full/0/native.jpg)
Circus
![](https://ids.lib.harvard.edu/ids/iiif/18815773/270,145,10,18/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/18815773/369,639,13,21/full/0/native.jpg)
WILD
![](https://ids.lib.harvard.edu/ids/iiif/18815773/373,644,14,21/full/0/native.jpg)
MESO
![](https://ids.lib.harvard.edu/ids/iiif/18815773/344,575,11,16/full/0/native.jpg)
Tens
![](https://ids.lib.harvard.edu/ids/iiif/18815773/293,203,9,14/full/0/native.jpg)
RUS
![](https://ids.lib.harvard.edu/ids/iiif/18815773/461,624,12,35/full/0/native.jpg)
KELLER ROTO
![](https://ids.lib.harvard.edu/ids/iiif/18815773/348,110,10,12/full/0/native.jpg)
DO
![](https://ids.lib.harvard.edu/ids/iiif/18815773/334,205,168,765/full/0/native.jpg)
AAAAAAAAN
FILM
FILM
A131V.S
ma 57990:
![](https://ids.lib.harvard.edu/ids/iiif/18815773/335,352,142,25/full/0/native.jpg)
AAAAAAAAN
![](https://ids.lib.harvard.edu/ids/iiif/18815773/486,932,16,39/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18815773/488,624,10,47/full/0/native.jpg)
A131V.S
![](https://ids.lib.harvard.edu/ids/iiif/18815773/483,205,15,43/full/0/native.jpg)
ma
![](https://ids.lib.harvard.edu/ids/iiif/18815773/473,250,30,111/full/0/native.jpg)
57990: