Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
no person | 99.8 | |
| ||
architecture | 98.7 | |
| ||
indoors | 98.6 | |
| ||
transportation system | 97.7 | |
| ||
travel | 97.7 | |
| ||
building | 96.2 | |
| ||
vehicle | 93 | |
| ||
ceiling | 93 | |
| ||
industry | 92.7 | |
| ||
light | 91.9 | |
| ||
railway | 91.3 | |
| ||
reflection | 91.3 | |
| ||
outdoors | 91.2 | |
| ||
city | 90.9 | |
| ||
empty | 90.3 | |
| ||
watercraft | 90.1 | |
| ||
people | 89.4 | |
| ||
subway system | 89.4 | |
| ||
step | 89.3 | |
| ||
water | 89 | |
|
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Building | 67.8 | |
| ||
Floor | 62.6 | |
| ||
Stock photography | 59.4 | |
| ||
Flooring | 54 | |
| ||
Art | 50.2 | |
|
Microsoft
created on 2019-06-04
water | 78.2 | |
|
Color Analysis
Feature analysis
Categories
Imagga
paintings art | 54.6% | |
| ||
streetview architecture | 18.4% | |
| ||
food drinks | 13.7% | |
| ||
cars vehicles | 5.3% | |
| ||
interior objects | 3.2% | |
| ||
pets animals | 3.1% | |
|
Captions
Microsoft
created on 2019-06-04
a large white building | 59.9% | |
| ||
a large building in the background | 59.8% | |
| ||
a large building | 59.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20576253/539,338,52,14/full/0/native.jpg)
WATER.
![](https://ids.lib.harvard.edu/ids/iiif/20576253/595,255,91,19/full/0/native.jpg)
CIGANS.
![](https://ids.lib.harvard.edu/ids/iiif/20576253/493,338,97,15/full/0/native.jpg)
DEEP WATER.
![](https://ids.lib.harvard.edu/ids/iiif/20576253/494,338,42,14/full/0/native.jpg)
DEEP
![](https://ids.lib.harvard.edu/ids/iiif/20576253/447,50,102,41/full/0/native.jpg)
PBI79
![](https://ids.lib.harvard.edu/ids/iiif/20576253/904,396,28,13/full/0/native.jpg)
THIS
![](https://ids.lib.harvard.edu/ids/iiif/20576253/410,258,183,21/full/0/native.jpg)
GENERALAINUR
![](https://ids.lib.harvard.edu/ids/iiif/20576253/75,14,100,20/full/0/native.jpg)
GHASS
![](https://ids.lib.harvard.edu/ids/iiif/20576253/73,62,129,16/full/0/native.jpg)
FHGLASDHOHEBH
![](https://ids.lib.harvard.edu/ids/iiif/20576253/47,36,123,19/full/0/native.jpg)
HEN FHGLASDHOHEBH
![](https://ids.lib.harvard.edu/ids/iiif/20576253/447,49,102,42/full/0/native.jpg)
PBI79 I79
![](https://ids.lib.harvard.edu/ids/iiif/20576253/46,38,36,21/full/0/native.jpg)
HEN
![](https://ids.lib.harvard.edu/ids/iiif/20576253/500,56,46,36/full/0/native.jpg)
I79
![](https://ids.lib.harvard.edu/ids/iiif/20576253/504,60,46,39/full/0/native.jpg)
I79
![](https://ids.lib.harvard.edu/ids/iiif/20576253/75,25,101,89/full/0/native.jpg)
HASE
![](https://ids.lib.harvard.edu/ids/iiif/20576253/564,171,28,24/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/20576253/644,197,41,29/full/0/native.jpg)
PRICE
![](https://ids.lib.harvard.edu/ids/iiif/20576253/195,175,32,26/full/0/native.jpg)
MODEL
![](https://ids.lib.harvard.edu/ids/iiif/20576253/221,191,12,13/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/20576253/414,174,66,36/full/0/native.jpg)
RETLED
![](https://ids.lib.harvard.edu/ids/iiif/20576253/653,318,35,11/full/0/native.jpg)
GIGAR
![](https://ids.lib.harvard.edu/ids/iiif/20576253/905,399,30,16/full/0/native.jpg)
THIS
![](https://ids.lib.harvard.edu/ids/iiif/20576253/937,399,31,16/full/0/native.jpg)
SLIDE
![](https://ids.lib.harvard.edu/ids/iiif/20576253/909,412,31,19/full/0/native.jpg)
dies
![](https://ids.lib.harvard.edu/ids/iiif/20576253/938,415,28,15/full/0/native.jpg)
Ghildre
![](https://ids.lib.harvard.edu/ids/iiif/20576253/543,340,48,20/full/0/native.jpg)
WATER
![](https://ids.lib.harvard.edu/ids/iiif/20576253/34,25,934,406/full/0/native.jpg)
PB I79
HASE
HEW ENGLANDHOME BANERY
AT WHOLESALE PRICE
MODEL A
HINE RETLED
GENERAL A HUR CIGARS
TH Wos EL BELM
A GIGAR
THIS SLIDE
dies Ghildre
DEEP WATER
![](https://ids.lib.harvard.edu/ids/iiif/20576253/454,56,44,36/full/0/native.jpg)
PB
![](https://ids.lib.harvard.edu/ids/iiif/20576253/34,41,42,39/full/0/native.jpg)
HEW
![](https://ids.lib.harvard.edu/ids/iiif/20576253/65,64,94,77/full/0/native.jpg)
ENGLANDHOME
![](https://ids.lib.harvard.edu/ids/iiif/20576253/144,124,48,43/full/0/native.jpg)
BANERY
![](https://ids.lib.harvard.edu/ids/iiif/20576253/585,178,63,36/full/0/native.jpg)
WHOLESALE
![](https://ids.lib.harvard.edu/ids/iiif/20576253/378,194,40,27/full/0/native.jpg)
HINE
![](https://ids.lib.harvard.edu/ids/iiif/20576253/413,259,95,23/full/0/native.jpg)
GENERAL
![](https://ids.lib.harvard.edu/ids/iiif/20576253/548,261,44,18/full/0/native.jpg)
HUR
![](https://ids.lib.harvard.edu/ids/iiif/20576253/603,259,82,23/full/0/native.jpg)
CIGARS
![](https://ids.lib.harvard.edu/ids/iiif/20576253/536,310,29,12/full/0/native.jpg)
TH
![](https://ids.lib.harvard.edu/ids/iiif/20576253/569,310,24,13/full/0/native.jpg)
Wos
![](https://ids.lib.harvard.edu/ids/iiif/20576253/639,312,17,10/full/0/native.jpg)
EL
![](https://ids.lib.harvard.edu/ids/iiif/20576253/656,311,34,13/full/0/native.jpg)
BELM
![](https://ids.lib.harvard.edu/ids/iiif/20576253/497,340,44,20/full/0/native.jpg)
DEEP