Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
carriage | 100 | |
| ||
horse cart | 60.1 | |
| ||
cart | 54.9 | |
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wagon | 38 | |
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wheeled vehicle | 28.1 | |
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bench | 23.3 | |
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tree | 20.8 | |
| ||
park | 19.8 | |
| ||
old | 18.1 | |
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trees | 17.8 | |
| ||
outdoor | 16.8 | |
| ||
vehicle | 16.7 | |
| ||
sky | 15.9 | |
| ||
rural | 15 | |
| ||
outdoors | 14.9 | |
| ||
horse | 14.2 | |
| ||
grass | 14.2 | |
| ||
wood | 13.3 | |
| ||
summer | 12.9 | |
| ||
landscape | 12.6 | |
| ||
sun | 12.1 | |
| ||
empty | 12 | |
| ||
chair | 11.8 | |
| ||
vacation | 11.5 | |
| ||
path | 11.3 | |
| ||
travel | 11.3 | |
| ||
peaceful | 11 | |
| ||
relax | 10.9 | |
| ||
garden | 10.9 | |
| ||
scene | 10.4 | |
| ||
seat | 10.4 | |
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winter | 10.2 | |
| ||
clouds | 10.1 | |
| ||
season | 10.1 | |
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snow | 10 | |
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autumn | 9.7 | |
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scenic | 9.7 | |
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cold | 9.5 | |
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beach | 9.3 | |
| ||
color | 8.9 | |
| ||
chairs | 8.8 | |
| ||
forest | 8.7 | |
| ||
lonely | 8.7 | |
| ||
water | 8.7 | |
| ||
day | 8.6 | |
| ||
architecture | 8.6 | |
| ||
rest | 8.3 | |
| ||
city | 8.3 | |
| ||
morning | 8.1 | |
| ||
transportation | 8.1 | |
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wooden | 7.9 | |
| ||
country | 7.9 | |
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male | 7.8 | |
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leisure | 7.5 | |
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tourist | 7.3 | |
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fall | 7.2 | |
| ||
road | 7.2 | |
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scenery | 7.2 | |
| ||
sunset | 7.2 | |
| ||
harness | 7.2 | |
| ||
holiday | 7.2 | |
| ||
sea | 7 | |
| ||
seasonal | 7 | |
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leaf | 7 | |
|
Google
created on 2018-05-10
horse and buggy | 95.8 | |
| ||
black and white | 93.8 | |
| ||
motor vehicle | 90.3 | |
| ||
mode of transport | 87.5 | |
| ||
cart | 86.2 | |
| ||
monochrome photography | 82.8 | |
| ||
horse like mammal | 82 | |
| ||
coachman | 81.6 | |
| ||
carriage | 80.5 | |
| ||
horse harness | 76.1 | |
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wagon | 74.9 | |
| ||
monochrome | 70.8 | |
| ||
stock photography | 61 | |
| ||
chariot | 60.3 | |
| ||
car | 55 | |
| ||
pack animal | 52.9 | |
|
Color Analysis
Feature analysis
Categories
Imagga
paintings art | 91% | |
| ||
nature landscape | 8% | |
|
Captions
Microsoft
created on 2018-05-10
a close up of a horse drawn carriage | 94.8% | |
| ||
a horse drawn carriage | 94.7% | |
| ||
close up of a horse drawn carriage | 93.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43163015/506,260,85,36/full/0/native.jpg)
CIRCUS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/422,252,174,73/full/0/native.jpg)
CIRCUS CIRCUS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/590,234,184,123/full/0/native.jpg)
24
![](https://ids.lib.harvard.edu/ids/iiif/43163015/567,294,24,13/full/0/native.jpg)
BROS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/437,254,67,20/full/0/native.jpg)
COMBINED
![](https://ids.lib.harvard.edu/ids/iiif/43163015/502,243,90,23/full/0/native.jpg)
HAGENBECK-WALLACE
![](https://ids.lib.harvard.edu/ids/iiif/43163015/407,383,25,8/full/0/native.jpg)
EUROP
![](https://ids.lib.harvard.edu/ids/iiif/43163015/423,342,17,10/full/0/native.jpg)
The
![](https://ids.lib.harvard.edu/ids/iiif/43163015/371,282,51,29/full/0/native.jpg)
SELLS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/417,390,12,8/full/0/native.jpg)
AN
![](https://ids.lib.harvard.edu/ids/iiif/43163015/426,369,8,9/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/43163015/767,216,206,64/full/0/native.jpg)
HAGENBECK-W
![](https://ids.lib.harvard.edu/ids/iiif/43163015/505,292,87,21/full/0/native.jpg)
4 PAW-SELLS BROS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/507,312,88,25/full/0/native.jpg)
RADUCAH
![](https://ids.lib.harvard.edu/ids/iiif/43163015/811,405,19,13/full/0/native.jpg)
RT
![](https://ids.lib.harvard.edu/ids/iiif/43163015/845,251,123,32/full/0/native.jpg)
CIRCU
![](https://ids.lib.harvard.edu/ids/iiif/43163015/416,355,23,12/full/0/native.jpg)
CR
![](https://ids.lib.harvard.edu/ids/iiif/43163015/505,293,63,20/full/0/native.jpg)
4 PAW-SELLS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/409,390,20,9/full/0/native.jpg)
IN AN
![](https://ids.lib.harvard.edu/ids/iiif/43163015/288,236,306,66/full/0/native.jpg)
AGEND4PAW COMBINED HAGENBECK-WALLACE
![](https://ids.lib.harvard.edu/ids/iiif/43163015/281,271,144,66/full/0/native.jpg)
WALLACESTE SELLS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/811,401,87,20/full/0/native.jpg)
RT MEATTY
![](https://ids.lib.harvard.edu/ids/iiif/43163015/423,339,41,14/full/0/native.jpg)
The Calol
![](https://ids.lib.harvard.edu/ids/iiif/43163015/409,397,18,6/full/0/native.jpg)
HURE
![](https://ids.lib.harvard.edu/ids/iiif/43163015/409,392,8,4/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/43163015/832,401,65,20/full/0/native.jpg)
MEATTY
![](https://ids.lib.harvard.edu/ids/iiif/43163015/282,283,97,54/full/0/native.jpg)
WALLACESTE
![](https://ids.lib.harvard.edu/ids/iiif/43163015/386,307,28,14/full/0/native.jpg)
BEG
![](https://ids.lib.harvard.edu/ids/iiif/43163015/288,249,155,53/full/0/native.jpg)
AGEND4PAW
![](https://ids.lib.harvard.edu/ids/iiif/43163015/444,340,19,10/full/0/native.jpg)
Calol
![](https://ids.lib.harvard.edu/ids/iiif/43163015/773,224,197,48/full/0/native.jpg)
HAGENBECK-W
![](https://ids.lib.harvard.edu/ids/iiif/43163015/540,296,31,17/full/0/native.jpg)
SELLS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/568,295,28,17/full/0/native.jpg)
BROS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/400,353,38,20/full/0/native.jpg)
CR
![](https://ids.lib.harvard.edu/ids/iiif/43163015/400,224,570,149/full/0/native.jpg)
COMBINED RAGENBECK-WALLACE
HAGENBECK-W
CIRCUS
4PAW SELLS BROS
CR
![](https://ids.lib.harvard.edu/ids/iiif/43163015/440,254,65,22/full/0/native.jpg)
COMBINED
![](https://ids.lib.harvard.edu/ids/iiif/43163015/505,246,89,24/full/0/native.jpg)
RAGENBECK-WALLACE
![](https://ids.lib.harvard.edu/ids/iiif/43163015/510,263,84,35/full/0/native.jpg)
CIRCUS
![](https://ids.lib.harvard.edu/ids/iiif/43163015/509,298,31,16/full/0/native.jpg)
4PAW