Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
Google
created on 2022-06-04
Water | 96.2 | |
| ||
Boat | 93.3 | |
| ||
Watercraft | 92.9 | |
| ||
Vehicle | 92.8 | |
| ||
Naval architecture | 88.8 | |
| ||
Ship | 77.5 | |
| ||
Lake | 70.8 | |
| ||
Steamboat | 70.6 | |
| ||
Monochrome | 70.4 | |
| ||
Monochrome photography | 69.6 | |
| ||
Rectangle | 68.3 | |
| ||
Stock photography | 62 | |
| ||
Art | 61.9 | |
| ||
Naval ship | 61.2 | |
| ||
Still life photography | 60.6 | |
| ||
Water transportation | 60.4 | |
| ||
Dreadnought | 56.8 | |
| ||
Photographic paper | 54.7 | |
|
Microsoft
created on 2022-06-04
ship | 99.8 | |
| ||
water | 98.7 | |
| ||
watercraft | 97.8 | |
| ||
boat | 95.5 | |
| ||
outdoor | 95.4 | |
| ||
black and white | 90.2 | |
| ||
white | 88.7 | |
| ||
vehicle | 82.2 | |
| ||
lake | 59.1 | |
| ||
old | 40.3 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488872/374,145,228,485/full/0/native.jpg)
Boat | 99.7% | |
|
Categories
Imagga
cars vehicles | 82.3% | |
| ||
paintings art | 6.5% | |
| ||
food drinks | 5.4% | |
| ||
nature landscape | 2.7% | |
| ||
interior objects | 1% | |
|
Captions
Microsoft
created on 2022-06-04
a large ship in the water | 75.8% | |
| ||
a small boat in a body of water | 74% | |
| ||
a ship on the water | 73.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488872/104,325,26,11/full/0/native.jpg)
TEAS
![](https://ids.lib.harvard.edu/ids/iiif/20488872/153,776,54,27/full/0/native.jpg)
Bridge
![](https://ids.lib.harvard.edu/ids/iiif/20488872/0,345,16,9/full/0/native.jpg)
ats
![](https://ids.lib.harvard.edu/ids/iiif/20488872/0,334,19,10/full/0/native.jpg)
ker
![](https://ids.lib.harvard.edu/ids/iiif/20488872/57,322,73,15/full/0/native.jpg)
LIPTON'S TEAS
![](https://ids.lib.harvard.edu/ids/iiif/20488872/890,784,52,15/full/0/native.jpg)
7266
![](https://ids.lib.harvard.edu/ids/iiif/20488872/911,1,69,19/full/0/native.jpg)
1266
![](https://ids.lib.harvard.edu/ids/iiif/20488872/58,322,47,15/full/0/native.jpg)
LIPTON'S
![](https://ids.lib.harvard.edu/ids/iiif/20488872/107,776,47,25/full/0/native.jpg)
River
![](https://ids.lib.harvard.edu/ids/iiif/20488872/44,771,313,40/full/0/native.jpg)
charles River Bridge Progression 4.and
![](https://ids.lib.harvard.edu/ids/iiif/20488872/44,771,63,28/full/0/native.jpg)
charles
![](https://ids.lib.harvard.edu/ids/iiif/20488872/301,776,56,31/full/0/native.jpg)
4.and
![](https://ids.lib.harvard.edu/ids/iiif/20488872/204,776,96,35/full/0/native.jpg)
Progression
![](https://ids.lib.harvard.edu/ids/iiif/20488872/434,577,52,11/full/0/native.jpg)
PORTLAND
![](https://ids.lib.harvard.edu/ids/iiif/20488872/395,577,91,11/full/0/native.jpg)
PELARD PORTLAND
![](https://ids.lib.harvard.edu/ids/iiif/20488872/563,778,96,28/full/0/native.jpg)
Nov.20.08
![](https://ids.lib.harvard.edu/ids/iiif/20488872/395,578,34,10/full/0/native.jpg)
PELARD
![](https://ids.lib.harvard.edu/ids/iiif/20488872/69,337,7,4/full/0/native.jpg)
All
![](https://ids.lib.harvard.edu/ids/iiif/20488872/98,337,15,6/full/0/native.jpg)
CARD
![](https://ids.lib.harvard.edu/ids/iiif/20488872/62,337,67,6/full/0/native.jpg)
in All THRE CARD DEL
![](https://ids.lib.harvard.edu/ids/iiif/20488872/62,337,4,3/full/0/native.jpg)
in
![](https://ids.lib.harvard.edu/ids/iiif/20488872/79,337,16,6/full/0/native.jpg)
THRE
![](https://ids.lib.harvard.edu/ids/iiif/20488872/115,338,14,5/full/0/native.jpg)
DEL
![](https://ids.lib.harvard.edu/ids/iiif/20488872/59,323,50,19/full/0/native.jpg)
LIPTON'S
![](https://ids.lib.harvard.edu/ids/iiif/20488872/105,325,31,18/full/0/native.jpg)
TEAS
![](https://ids.lib.harvard.edu/ids/iiif/20488872/69,336,14,13/full/0/native.jpg)
AIR
![](https://ids.lib.harvard.edu/ids/iiif/20488872/81,336,21,14/full/0/native.jpg)
THONT
![](https://ids.lib.harvard.edu/ids/iiif/20488872/115,337,19,13/full/0/native.jpg)
ONLY
![](https://ids.lib.harvard.edu/ids/iiif/20488872/109,777,50,29/full/0/native.jpg)
River
![](https://ids.lib.harvard.edu/ids/iiif/20488872/155,778,58,30/full/0/native.jpg)
Bridge
![](https://ids.lib.harvard.edu/ids/iiif/20488872/211,780,68,30/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20488872/276,783,23,28/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20488872/303,784,21,28/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/20488872/238,350,15,12/full/0/native.jpg)
O
![](https://ids.lib.harvard.edu/ids/iiif/20488872/406,578,27,14/full/0/native.jpg)
LARD
![](https://ids.lib.harvard.edu/ids/iiif/20488872/436,578,55,13/full/0/native.jpg)
PORTLAND
![](https://ids.lib.harvard.edu/ids/iiif/20488872/569,785,46,20/full/0/native.jpg)
Nov.
![](https://ids.lib.harvard.edu/ids/iiif/20488872/609,783,51,20/full/0/native.jpg)
20.08
![](https://ids.lib.harvard.edu/ids/iiif/20488872/0,189,945,625/full/0/native.jpg)
ker
ats
1
LIPTON'S TEAS
AIR THONT CARS ONLY
Charles River Bridge Progress on 4, and
O
LARD PORTLAND
Nov. 20.08
7266
![](https://ids.lib.harvard.edu/ids/iiif/20488872/2,335,22,13/full/0/native.jpg)
ker
![](https://ids.lib.harvard.edu/ids/iiif/20488872/1,347,21,13/full/0/native.jpg)
ats
![](https://ids.lib.harvard.edu/ids/iiif/20488872/32,189,12,14/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/20488872/99,337,19,13/full/0/native.jpg)
CARS
![](https://ids.lib.harvard.edu/ids/iiif/20488872/45,774,69,30/full/0/native.jpg)
Charles
![](https://ids.lib.harvard.edu/ids/iiif/20488872/313,785,15,27/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20488872/322,785,32,28/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/20488872/887,787,58,17/full/0/native.jpg)
7266