Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-14
Google
created on 2021-12-14
Boat | 87.2 | |
| ||
Window | 87.1 | |
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Naval architecture | 86.7 | |
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Building | 79.9 | |
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Watercraft | 79.4 | |
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Font | 77.7 | |
| ||
Urban design | 73.7 | |
| ||
Motor vehicle | 71.7 | |
| ||
Monochrome | 71.1 | |
| ||
Art | 68.5 | |
| ||
Monochrome photography | 68.3 | |
| ||
Room | 67.1 | |
| ||
Event | 66.6 | |
| ||
House | 66 | |
| ||
Ship | 65.6 | |
| ||
History | 64.9 | |
| ||
Illustration | 63.3 | |
| ||
Vehicle | 61 | |
| ||
Paper product | 59.7 | |
| ||
Water transportation | 58 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18780875/313,599,76,107/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18780875/649,359,63,83/full/0/native.jpg)
Person | 47.8% | |
|
Categories
Imagga
paintings art | 99.1% | |
|
Captions
Microsoft
created on 2021-12-14
a vintage photo of a group of people standing in front of a crowd | 78.4% | |
| ||
a vintage photo of a group of people in front of a crowd | 78.3% | |
| ||
a vintage photo of a large crowd of people | 78.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18780875/857,123,32,15/full/0/native.jpg)
DRUG
![](https://ids.lib.harvard.edu/ids/iiif/18780875/475,161,14,8/full/0/native.jpg)
JOR
![](https://ids.lib.harvard.edu/ids/iiif/18780875/599,187,45,11/full/0/native.jpg)
LEQGETTS
![](https://ids.lib.harvard.edu/ids/iiif/18780875/895,123,17,14/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/18780875/643,152,31,23/full/0/native.jpg)
TT
![](https://ids.lib.harvard.edu/ids/iiif/18780875/772,141,35,17/full/0/native.jpg)
Coca-Co
![](https://ids.lib.harvard.edu/ids/iiif/18780875/489,143,24,9/full/0/native.jpg)
onses
![](https://ids.lib.harvard.edu/ids/iiif/18780875/818,123,93,16/full/0/native.jpg)
mond DRUG CO.
![](https://ids.lib.harvard.edu/ids/iiif/18780875/475,161,39,9/full/0/native.jpg)
JOR 58025
![](https://ids.lib.harvard.edu/ids/iiif/18780875/831,202,32,9/full/0/native.jpg)
DRUG CC
![](https://ids.lib.harvard.edu/ids/iiif/18780875/855,205,8,6/full/0/native.jpg)
CC
![](https://ids.lib.harvard.edu/ids/iiif/18780875/818,123,33,15/full/0/native.jpg)
mond
![](https://ids.lib.harvard.edu/ids/iiif/18780875/1009,378,9,31/full/0/native.jpg)
VCEV
![](https://ids.lib.harvard.edu/ids/iiif/18780875/596,21,21,99/full/0/native.jpg)
CETTS
![](https://ids.lib.harvard.edu/ids/iiif/18780875/1008,277,12,32/full/0/native.jpg)
EITW
![](https://ids.lib.harvard.edu/ids/iiif/18780875/1008,277,12,132/full/0/native.jpg)
VCEV EVEELA EITW
![](https://ids.lib.harvard.edu/ids/iiif/18780875/836,140,63,7/full/0/native.jpg)
ACCURATILY FILLED
![](https://ids.lib.harvard.edu/ids/iiif/18780875/493,163,22,7/full/0/native.jpg)
58025
![](https://ids.lib.harvard.edu/ids/iiif/18780875/575,155,10,13/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18780875/1009,316,10,55/full/0/native.jpg)
EVEELA
![](https://ids.lib.harvard.edu/ids/iiif/18780875/477,125,440,78/full/0/native.jpg)
monD DRUG CO.
AS ACCURATELV FILLED
Coca-Cola
TOR SHOS
LEGOETTS
![](https://ids.lib.harvard.edu/ids/iiif/18780875/820,126,36,17/full/0/native.jpg)
monD
![](https://ids.lib.harvard.edu/ids/iiif/18780875/859,125,34,18/full/0/native.jpg)
DRUG
![](https://ids.lib.harvard.edu/ids/iiif/18780875/896,125,21,18/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/18780875/822,139,19,13/full/0/native.jpg)
AS
![](https://ids.lib.harvard.edu/ids/iiif/18780875/839,139,44,13/full/0/native.jpg)
ACCURATELV
![](https://ids.lib.harvard.edu/ids/iiif/18780875/880,139,25,13/full/0/native.jpg)
FILLED
![](https://ids.lib.harvard.edu/ids/iiif/18780875/772,141,43,22/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/18780875/477,163,16,11/full/0/native.jpg)
TOR
![](https://ids.lib.harvard.edu/ids/iiif/18780875/495,162,26,14/full/0/native.jpg)
SHOS
![](https://ids.lib.harvard.edu/ids/iiif/18780875/600,189,49,14/full/0/native.jpg)
LEGOETTS