Machine Generated Data
Tags
Amazon
created on 2019-03-22
Shop | 92.2 | |
| ||
Newsstand | 83.1 | |
| ||
Food | 80.8 | |
| ||
Confectionery | 80.8 | |
| ||
Sweets | 80.8 | |
| ||
Poster | 73.7 | |
| ||
Advertisement | 73.7 | |
| ||
Human | 72.3 | |
| ||
Person | 72.3 | |
| ||
Text | 70.9 | |
|
Clarifai
created on 2019-03-22
Imagga
created on 2019-03-22
case | 100 | |
| ||
shop | 19.4 | |
| ||
equipment | 18.2 | |
| ||
business | 17 | |
| ||
technology | 14.8 | |
| ||
window | 14.5 | |
| ||
electronic equipment | 14.2 | |
| ||
toyshop | 13.6 | |
| ||
oscilloscope | 13.4 | |
| ||
mercantile establishment | 13.2 | |
| ||
texture | 13.2 | |
| ||
wealth | 12.6 | |
| ||
old | 12.5 | |
| ||
art | 12.5 | |
| ||
network | 12 | |
| ||
house | 11.7 | |
| ||
hardware | 11.5 | |
| ||
antique | 11.3 | |
| ||
finance | 11 | |
| ||
data | 10.9 | |
| ||
architecture | 10.9 | |
| ||
currency | 10.8 | |
| ||
bank | 10.7 | |
| ||
design | 10.7 | |
| ||
financial | 10.7 | |
| ||
digital | 10.5 | |
| ||
city | 10 | |
| ||
vintage | 9.9 | |
| ||
retro | 9.8 | |
| ||
building | 9.8 | |
| ||
computer | 9.7 | |
| ||
pattern | 9.6 | |
| ||
wall | 9.4 | |
| ||
paper | 9.4 | |
| ||
board | 9.2 | |
| ||
religion | 9 | |
| ||
interior | 8.8 | |
| ||
place of business | 8.8 | |
| ||
home | 8.8 | |
| ||
glass | 8.5 | |
| ||
industry | 8.5 | |
| ||
tech | 8.5 | |
| ||
money | 8.5 | |
| ||
card | 8.5 | |
| ||
modern | 8.4 | |
| ||
cash | 8.2 | |
| ||
connection | 8.2 | |
| ||
ancient | 7.8 | |
| ||
grunge | 7.7 | |
| ||
exchange | 7.6 | |
| ||
commerce | 7.5 | |
| ||
dollar | 7.4 | |
| ||
economy | 7.4 | |
| ||
church | 7.4 | |
| ||
brown | 7.4 | |
| ||
detail | 7.2 | |
| ||
market | 7.1 | |
| ||
information | 7.1 | |
|
Google
created on 2019-03-22
White | 95.9 | |
| ||
Photograph | 95.4 | |
| ||
Black-and-white | 88.5 | |
| ||
Snapshot | 86.6 | |
| ||
Photography | 72.5 | |
| ||
Monochrome | 70.2 | |
| ||
Window | 69.8 | |
| ||
Stock photography | 66.6 | |
| ||
Picture frame | 66.4 | |
| ||
Room | 65.7 | |
| ||
Monochrome photography | 57.8 | |
| ||
Style | 54.3 | |
| ||
Art | 50.2 | |
| ||
Display window | 50.2 | |
|
Microsoft
created on 2019-03-22
store | 64.4 | |
| ||
shop | 37.4 | |
| ||
black and white | 37.4 | |
| ||
street | 12.2 | |
| ||
monochrome | 7.2 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18831743/551,234,62,73/full/0/native.jpg)
AWS Rekognition
Age | 26-44 |
Gender | Female, 59.5% |
Disgusted | 10.2% |
Angry | 23.8% |
Happy | 9.5% |
Confused | 11.4% |
Calm | 29% |
Sad | 8.8% |
Surprised | 7.3% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18831743/524,206,120,182/full/0/native.jpg)
Person | 72.3% | |
|
Categories
Imagga
paintings art | 91.1% | |
| ||
streetview architecture | 7.8% | |
|
Captions
Microsoft
created on 2019-03-22
a black and white photo of a store | 83.1% | |
| ||
a store front at day | 83% | |
| ||
a store inside of a building | 82.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18831743/618,139,99,22/full/0/native.jpg)
SNORKEL
![](https://ids.lib.harvard.edu/ids/iiif/18831743/621,162,79,32/full/0/native.jpg)
Filling
![](https://ids.lib.harvard.edu/ids/iiif/18831743/561,165,60,25/full/0/native.jpg)
Dunk
![](https://ids.lib.harvard.edu/ids/iiif/18831743/502,162,198,33/full/0/native.jpg)
Ends Dunk Filling
![](https://ids.lib.harvard.edu/ids/iiif/18831743/502,167,57,24/full/0/native.jpg)
Ends
![](https://ids.lib.harvard.edu/ids/iiif/18831743/237,251,95,46/full/0/native.jpg)
Skrip
![](https://ids.lib.harvard.edu/ids/iiif/18831743/482,134,127,34/full/0/native.jpg)
SHEAFFER'S
![](https://ids.lib.harvard.edu/ids/iiif/18831743/666,432,29,12/full/0/native.jpg)
WRITE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/649,275,27,15/full/0/native.jpg)
OLD
![](https://ids.lib.harvard.edu/ids/iiif/18831743/623,275,52,15/full/0/native.jpg)
THE OLD
![](https://ids.lib.harvard.edu/ids/iiif/18831743/624,275,25,13/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/649,290,32,13/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/18831743/985,402,10,3/full/0/native.jpg)
KOL
![](https://ids.lib.harvard.edu/ids/iiif/18831743/585,429,23,12/full/0/native.jpg)
JUST
![](https://ids.lib.harvard.edu/ids/iiif/18831743/506,422,189,18/full/0/native.jpg)
NO PEN PEN TO WIPE JUST WRITE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/517,427,23,12/full/0/native.jpg)
PEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/541,427,34,12/full/0/native.jpg)
TO WIPE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/607,292,42,12/full/0/native.jpg)
MESSV
![](https://ids.lib.harvard.edu/ids/iiif/18831743/598,292,81,35/full/0/native.jpg)
TOFILL APEN TO MESSV WAY
![](https://ids.lib.harvard.edu/ids/iiif/18831743/506,425,34,16/full/0/native.jpg)
NO PEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/602,307,68,13/full/0/native.jpg)
TOFILL APEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/604,308,14,11/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18831743/821,405,27,13/full/0/native.jpg)
FILING
![](https://ids.lib.harvard.edu/ids/iiif/18831743/531,484,24,11/full/0/native.jpg)
PENS
![](https://ids.lib.harvard.edu/ids/iiif/18831743/240,231,87,20/full/0/native.jpg)
ST:lMIRS
![](https://ids.lib.harvard.edu/ids/iiif/18831743/275,379,42,15/full/0/native.jpg)
SHEAFFERS
![](https://ids.lib.harvard.edu/ids/iiif/18831743/305,486,530,24/full/0/native.jpg)
cr Sheoffoes PENS PEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/981,320,0,0/full/0/native.jpg)
2.LEA
![](https://ids.lib.harvard.edu/ids/iiif/18831743/306,486,17,6/full/0/native.jpg)
cr
![](https://ids.lib.harvard.edu/ids/iiif/18831743/369,485,43,15/full/0/native.jpg)
Sheoffoes
![](https://ids.lib.harvard.edu/ids/iiif/18831743/766,438,47,15/full/0/native.jpg)
Sheollees
![](https://ids.lib.harvard.edu/ids/iiif/18831743/489,507,25,22/full/0/native.jpg)
ME
![](https://ids.lib.harvard.edu/ids/iiif/18831743/226,139,772,379/full/0/native.jpg)
SHEAFFERS SWORKEL
Ends Dunk Filling
17
S1117:1111
up
THE OLD
MESSY WAY
TO FILL A PEN
25
kup
NO PEN TO WIPE
JUST FILL... THEN WRITE
SNORKEL P
SNORK
for Beauty
![](https://ids.lib.harvard.edu/ids/iiif/18831743/489,139,126,29/full/0/native.jpg)
SHEAFFERS
![](https://ids.lib.harvard.edu/ids/iiif/18831743/619,145,101,22/full/0/native.jpg)
SWORKEL
![](https://ids.lib.harvard.edu/ids/iiif/18831743/510,169,50,34/full/0/native.jpg)
Ends
![](https://ids.lib.harvard.edu/ids/iiif/18831743/561,168,58,34/full/0/native.jpg)
Dunk
![](https://ids.lib.harvard.edu/ids/iiif/18831743/625,168,68,34/full/0/native.jpg)
Filling
![](https://ids.lib.harvard.edu/ids/iiif/18831743/988,147,10,18/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/18831743/246,235,39,23/full/0/native.jpg)
S1117
![](https://ids.lib.harvard.edu/ids/iiif/18831743/280,244,8,11/full/0/native.jpg)
:
![](https://ids.lib.harvard.edu/ids/iiif/18831743/283,238,31,18/full/0/native.jpg)
1111
![](https://ids.lib.harvard.edu/ids/iiif/18831743/284,271,48,31/full/0/native.jpg)
up
![](https://ids.lib.harvard.edu/ids/iiif/18831743/628,280,24,14/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/653,280,25,14/full/0/native.jpg)
OLD
![](https://ids.lib.harvard.edu/ids/iiif/18831743/612,295,42,14/full/0/native.jpg)
MESSY
![](https://ids.lib.harvard.edu/ids/iiif/18831743/655,295,28,14/full/0/native.jpg)
WAY
![](https://ids.lib.harvard.edu/ids/iiif/18831743/606,311,15,12/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18831743/620,311,22,12/full/0/native.jpg)
FILL
![](https://ids.lib.harvard.edu/ids/iiif/18831743/642,311,10,12/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/18831743/652,311,22,13/full/0/native.jpg)
PEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/226,337,14,18/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/18831743/286,395,43,28/full/0/native.jpg)
kup
![](https://ids.lib.harvard.edu/ids/iiif/18831743/511,429,13,12/full/0/native.jpg)
NO
![](https://ids.lib.harvard.edu/ids/iiif/18831743/554,430,23,14/full/0/native.jpg)
WIPE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/587,431,23,14/full/0/native.jpg)
JUST
![](https://ids.lib.harvard.edu/ids/iiif/18831743/610,432,36,14/full/0/native.jpg)
FILL...
![](https://ids.lib.harvard.edu/ids/iiif/18831743/644,433,24,14/full/0/native.jpg)
THEN
![](https://ids.lib.harvard.edu/ids/iiif/18831743/667,434,29,13/full/0/native.jpg)
WRITE
![](https://ids.lib.harvard.edu/ids/iiif/18831743/773,456,48,18/full/0/native.jpg)
SNORKEL
![](https://ids.lib.harvard.edu/ids/iiif/18831743/824,456,6,16/full/0/native.jpg)
P
![](https://ids.lib.harvard.edu/ids/iiif/18831743/380,501,34,13/full/0/native.jpg)
SNORK
![](https://ids.lib.harvard.edu/ids/iiif/18831743/706,506,11,10/full/0/native.jpg)
for
![](https://ids.lib.harvard.edu/ids/iiif/18831743/715,507,22,11/full/0/native.jpg)
Beauty