Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
people | 99.3 | |
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water | 98.9 | |
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boat | 98.6 | |
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watercraft | 98.6 | |
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monochrome | 97.7 | |
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river | 97.7 | |
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lake | 97.3 | |
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vehicle | 97.1 | |
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reflection | 96.2 | |
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group | 95.8 | |
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rowboat | 95.5 | |
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child | 95 | |
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recreation | 93.5 | |
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two | 92.2 | |
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transportation system | 92 | |
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woman | 90.6 | |
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boatman | 89.5 | |
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adult | 89 | |
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man | 88.3 | |
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travel | 85.2 | |
|
Imagga
created on 2022-01-15
Google
created on 2022-01-15
Boat | 96 | |
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Water | 94 | |
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Watercraft | 92.8 | |
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Boats and boating--Equipment and supplies | 90.3 | |
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Vehicle | 87.9 | |
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Black-and-white | 84.8 | |
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Plant | 83.7 | |
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Tree | 82 | |
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Adaptation | 79.2 | |
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Lake | 78.1 | |
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Rectangle | 77.6 | |
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Naval architecture | 77.5 | |
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Tints and shades | 77 | |
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Monochrome photography | 73.8 | |
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Monochrome | 73.7 | |
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Canoe | 70.3 | |
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Skiff | 70.2 | |
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Room | 69.9 | |
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Font | 68.5 | |
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Water transportation | 67.9 | |
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Microsoft
created on 2022-01-15
water | 99.7 | |
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text | 99.6 | |
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boat | 99.6 | |
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watercraft | 88.3 | |
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lake | 82.8 | |
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ship | 82.1 | |
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black | 71.4 | |
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black and white | 65.6 | |
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Color Analysis
Feature analysis
Categories
Imagga
interior objects | 84% | |
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paintings art | 7.1% | |
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streetview architecture | 3.6% | |
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nature landscape | 2.5% | |
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food drinks | 1% | |
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Captions
Microsoft
created on 2022-01-15
a small boat in a body of water | 93.9% | |
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a small boat in a large body of water | 91.8% | |
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a small boat on a body of water | 91.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819936/670,536,21,16/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/18819936/989,549,30,145/full/0/native.jpg)
39412
![](https://ids.lib.harvard.edu/ids/iiif/18819936/670,535,89,21/full/0/native.jpg)
18 C1246
![](https://ids.lib.harvard.edu/ids/iiif/18819936/694,538,64,17/full/0/native.jpg)
C1246
![](https://ids.lib.harvard.edu/ids/iiif/18819936/994,192,13,38/full/0/native.jpg)
зад
![](https://ids.lib.harvard.edu/ids/iiif/18819936/663,286,357,393/full/0/native.jpg)
18 C1246
YTヨヨA°2-XAQO
て」ヤb
![](https://ids.lib.harvard.edu/ids/iiif/18819936/663,532,49,27/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/18819936/709,532,53,27/full/0/native.jpg)
C1246
![](https://ids.lib.harvard.edu/ids/iiif/18819936/1000,286,12,21/full/0/native.jpg)
YT
![](https://ids.lib.harvard.edu/ids/iiif/18819936/998,312,14,22/full/0/native.jpg)
ヨヨ
![](https://ids.lib.harvard.edu/ids/iiif/18819936/995,334,20,16/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18819936/996,347,20,11/full/0/native.jpg)
°
![](https://ids.lib.harvard.edu/ids/iiif/18819936/996,355,20,16/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18819936/996,368,20,11/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18819936/998,390,15,62/full/0/native.jpg)
XAQO
![](https://ids.lib.harvard.edu/ids/iiif/18819936/995,552,24,28/full/0/native.jpg)
て
![](https://ids.lib.harvard.edu/ids/iiif/18819936/997,588,18,11/full/0/native.jpg)
」
![](https://ids.lib.harvard.edu/ids/iiif/18819936/998,608,23,27/full/0/native.jpg)
ヤ
![](https://ids.lib.harvard.edu/ids/iiif/18819936/991,643,30,36/full/0/native.jpg)
b