Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 85.7 | |
| ||
Human | 85.7 | |
| ||
Speaker | 81.5 | |
| ||
Audio Speaker | 81.5 | |
| ||
Electronics | 81.5 | |
| ||
Machine | 63.9 | |
| ||
Stereo | 63.3 | |
| ||
Workshop | 59.2 | |
| ||
Indoors | 56.3 | |
| ||
Interior Design | 56.3 | |
|
Clarifai
created on 2023-10-26
music | 99.9 | |
| ||
speaker | 99.5 | |
| ||
wireless communication | 99.4 | |
| ||
people | 99.3 | |
| ||
audio | 98.9 | |
| ||
analogue | 98.8 | |
| ||
sound | 98.7 | |
| ||
instrument | 98.1 | |
| ||
mono | 98 | |
| ||
microphone | 96.2 | |
| ||
analog | 95.8 | |
| ||
phonograph record | 95.8 | |
| ||
group | 95.5 | |
| ||
stereo | 95.3 | |
| ||
amplifier | 95.3 | |
| ||
room | 94.4 | |
| ||
bass | 94 | |
| ||
intensity | 93.6 | |
| ||
loud | 92.5 | |
| ||
one | 91.7 | |
|
Imagga
created on 2022-01-22
equipment | 51 | |
| ||
electronic equipment | 39.4 | |
| ||
loudspeaker | 34.5 | |
| ||
radio | 31.1 | |
| ||
technology | 21.5 | |
| ||
device | 20.8 | |
| ||
camera | 17.7 | |
| ||
interior | 17.7 | |
| ||
digital | 17 | |
| ||
broadcasting | 16.5 | |
| ||
amplifier | 16 | |
| ||
3d | 15.5 | |
| ||
music | 15.3 | |
| ||
metal | 15.3 | |
| ||
old | 13.9 | |
| ||
object | 13.9 | |
| ||
film | 13.6 | |
| ||
speaker | 13.6 | |
| ||
electrical device | 13.5 | |
| ||
television | 13.2 | |
| ||
projector | 12.9 | |
| ||
sound | 12.2 | |
| ||
three dimensional | 12.1 | |
| ||
light | 12 | |
| ||
communication system | 11.8 | |
| ||
business | 11.5 | |
| ||
stereo | 11.4 | |
| ||
radio receiver | 11.2 | |
| ||
box | 11.1 | |
| ||
receiver | 10.9 | |
| ||
black | 10.8 | |
| ||
retro | 10.6 | |
| ||
furniture | 10.6 | |
| ||
telecommunication | 10.6 | |
| ||
computer | 10.6 | |
| ||
audio | 10.5 | |
| ||
modern | 10.5 | |
| ||
render | 10.4 | |
| ||
home | 10.4 | |
| ||
industry | 10.2 | |
| ||
entertainment | 10.1 | |
| ||
safety | 10.1 | |
| ||
house | 10 | |
| ||
set | 10 | |
| ||
wood | 10 | |
| ||
cassette deck | 9.7 | |
| ||
design | 9.6 | |
| ||
effects | 9.5 | |
| ||
luxury | 9.4 | |
| ||
electronic | 9.3 | |
| ||
room | 9.2 | |
| ||
color | 8.9 | |
| ||
volume | 8.8 | |
| ||
system | 8.6 | |
| ||
nobody | 8.5 | |
| ||
chair | 8.5 | |
| ||
photographic equipment | 8.5 | |
| ||
machine | 8.5 | |
| ||
vintage | 8.3 | |
| ||
graphics | 8.2 | |
| ||
office | 8.2 | |
| ||
control | 8.1 | |
| ||
button | 7.9 | |
| ||
building | 7.8 | |
| ||
antique | 7.8 | |
| ||
tape deck | 7.8 | |
| ||
safe | 7.7 | |
| ||
lamp | 7.6 | |
| ||
studio | 7.6 | |
| ||
display | 7.4 | |
| ||
steel | 7.1 | |
| ||
work | 7.1 | |
| ||
bass | 7 | |
| ||
architecture | 7 | |
| ||
lens | 7 | |
|
Google
created on 2022-01-22
Machine | 75.8 | |
| ||
Audio equipment | 75.4 | |
| ||
Room | 67.6 | |
| ||
Classic | 64.9 | |
| ||
Electronic instrument | 63.7 | |
| ||
Monochrome | 62.6 | |
| ||
Monochrome photography | 60 | |
| ||
Font | 57 | |
| ||
Still life photography | 56.7 | |
| ||
Loudspeaker | 51.8 | |
|
Microsoft
created on 2022-01-22
text | 99.6 | |
| ||
black and white | 80.1 | |
| ||
store | 34.7 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824852/809,370,27,36/full/0/native.jpg)
AWS Rekognition
Age | 28-38 |
Gender | Male, 83.9% |
Sad | 62% |
Surprised | 16.2% |
Calm | 12.3% |
Happy | 2.8% |
Angry | 2% |
Fear | 1.9% |
Confused | 1.9% |
Disgusted | 0.9% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824852/772,358,81,163/full/0/native.jpg)
Person | 85.7% | |
|
Categories
Imagga
interior objects | 71.7% | |
| ||
paintings art | 14.6% | |
| ||
streetview architecture | 11.8% | |
| ||
text visuals | 1.3% | |
|
Captions
Microsoft
created on 2022-01-22
a group of men standing in front of a store | 46.6% | |
| ||
a display in a store | 46.5% | |
| ||
a group of people standing in front of a store | 46.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824852/228,368,32,21/full/0/native.jpg)
Ranges
![](https://ids.lib.harvard.edu/ids/iiif/18824852/427,260,23,13/full/0/native.jpg)
GAS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/666,246,20,12/full/0/native.jpg)
Best
![](https://ids.lib.harvard.edu/ids/iiif/18824852/189,249,36,19/full/0/native.jpg)
Cooking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/167,247,59,21/full/0/native.jpg)
Best Cooking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/666,244,60,17/full/0/native.jpg)
Best Looking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/666,389,23,9/full/0/native.jpg)
Action
![](https://ids.lib.harvard.edu/ids/iiif/18824852/136,372,64,25/full/0/native.jpg)
Westinghouse
![](https://ids.lib.harvard.edu/ids/iiif/18824852/688,244,38,17/full/0/native.jpg)
Looking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/427,259,53,14/full/0/native.jpg)
GAS CO.
![](https://ids.lib.harvard.edu/ids/iiif/18824852/399,235,51,15/full/0/native.jpg)
CENTRAL
![](https://ids.lib.harvard.edu/ids/iiif/18824852/628,389,61,12/full/0/native.jpg)
The Triple Action
![](https://ids.lib.harvard.edu/ids/iiif/18824852/399,235,107,15/full/0/native.jpg)
CENTRAL ELECTRIC
![](https://ids.lib.harvard.edu/ids/iiif/18824852/454,235,51,15/full/0/native.jpg)
ELECTRIC
![](https://ids.lib.harvard.edu/ids/iiif/18824852/643,389,22,12/full/0/native.jpg)
Triple
![](https://ids.lib.harvard.edu/ids/iiif/18824852/628,390,14,11/full/0/native.jpg)
The
![](https://ids.lib.harvard.edu/ids/iiif/18824852/460,259,19,13/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/18824852/675,710,30,18/full/0/native.jpg)
Hoover
![](https://ids.lib.harvard.edu/ids/iiif/18824852/892,404,37,27/full/0/native.jpg)
HOOVER
![](https://ids.lib.harvard.edu/ids/iiif/18824852/750,475,11,8/full/0/native.jpg)
Two
![](https://ids.lib.harvard.edu/ids/iiif/18824852/691,199,16,9/full/0/native.jpg)
KEEPS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/438,251,27,7/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/18824852/750,475,29,10/full/0/native.jpg)
Two Great
![](https://ids.lib.harvard.edu/ids/iiif/18824852/620,471,28,7/full/0/native.jpg)
EXCLUSIVE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/762,476,17,9/full/0/native.jpg)
Great
![](https://ids.lib.harvard.edu/ids/iiif/18824852/647,537,7,4/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/18824852/623,528,30,7/full/0/native.jpg)
CONVERTS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/704,718,22,19/full/0/native.jpg)
picks
![](https://ids.lib.harvard.edu/ids/iiif/18824852/136,368,124,29/full/0/native.jpg)
Westinghouse Electric Ranges
![](https://ids.lib.harvard.edu/ids/iiif/18824852/197,412,22,14/full/0/native.jpg)
SO FAST
![](https://ids.lib.harvard.edu/ids/iiif/18824852/620,468,85,13/full/0/native.jpg)
EXCLUSIVE POSITIVE GITATION
![](https://ids.lib.harvard.edu/ids/iiif/18824852/649,469,26,10/full/0/native.jpg)
POSITIVE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/823,524,8,7/full/0/native.jpg)
ne
![](https://ids.lib.harvard.edu/ids/iiif/18824852/857,527,20,11/full/0/native.jpg)
ame
![](https://ids.lib.harvard.edu/ids/iiif/18824852/677,468,27,9/full/0/native.jpg)
GITATION
![](https://ids.lib.harvard.edu/ids/iiif/18824852/658,707,104,38/full/0/native.jpg)
The Hoover picks em up!"
![](https://ids.lib.harvard.edu/ids/iiif/18824852/807,484,6,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18824852/200,370,28,17/full/0/native.jpg)
Electric
![](https://ids.lib.harvard.edu/ids/iiif/18824852/151,417,23,15/full/0/native.jpg)
SOFINE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/643,480,15,6/full/0/native.jpg)
deeply
![](https://ids.lib.harvard.edu/ids/iiif/18824852/624,536,30,6/full/0/native.jpg)
for above the
![](https://ids.lib.harvard.edu/ids/iiif/18824852/738,721,23,24/full/0/native.jpg)
up!"
![](https://ids.lib.harvard.edu/ids/iiif/18824852/791,480,23,8/full/0/native.jpg)
ners -
![](https://ids.lib.harvard.edu/ids/iiif/18824852/992,448,14,63/full/0/native.jpg)
KODVK
![](https://ids.lib.harvard.edu/ids/iiif/18824852/631,536,14,6/full/0/native.jpg)
above
![](https://ids.lib.harvard.edu/ids/iiif/18824852/631,480,27,6/full/0/native.jpg)
City deeply
![](https://ids.lib.harvard.edu/ids/iiif/18824852/992,343,15,168/full/0/native.jpg)
KODVK EVEETA
![](https://ids.lib.harvard.edu/ids/iiif/18824852/791,480,17,8/full/0/native.jpg)
ners
![](https://ids.lib.harvard.edu/ids/iiif/18824852/826,488,15,27/full/0/native.jpg)
F
![](https://ids.lib.harvard.edu/ids/iiif/18824852/624,537,7,4/full/0/native.jpg)
for
![](https://ids.lib.harvard.edu/ids/iiif/18824852/993,343,14,78/full/0/native.jpg)
EVEETA
![](https://ids.lib.harvard.edu/ids/iiif/18824852/631,480,11,6/full/0/native.jpg)
City
![](https://ids.lib.harvard.edu/ids/iiif/18824852/823,524,19,7/full/0/native.jpg)
ne Or
![](https://ids.lib.harvard.edu/ids/iiif/18824852/714,709,11,11/full/0/native.jpg)
em
![](https://ids.lib.harvard.edu/ids/iiif/18824852/688,537,7,48/full/0/native.jpg)
<001
![](https://ids.lib.harvard.edu/ids/iiif/18824852/682,699,46,23/full/0/native.jpg)
"I shed em
![](https://ids.lib.harvard.edu/ids/iiif/18824852/683,699,32,21/full/0/native.jpg)
"I shed
![](https://ids.lib.harvard.edu/ids/iiif/18824852/999,193,7,22/full/0/native.jpg)
RIN
![](https://ids.lib.harvard.edu/ids/iiif/18824852/617,417,86,11/full/0/native.jpg)
the China
![](https://ids.lib.harvard.edu/ids/iiif/18824852/678,417,24,10/full/0/native.jpg)
China
![](https://ids.lib.harvard.edu/ids/iiif/18824852/188,390,23,16/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/18824852/239,407,20,14/full/0/native.jpg)
SO GURE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/149,386,102,26/full/0/native.jpg)
Entigening NEW like ADVE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/897,548,3,4/full/0/native.jpg)
e
![](https://ids.lib.harvard.edu/ids/iiif/18824852/232,389,17,11/full/0/native.jpg)
ADVE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/834,524,8,7/full/0/native.jpg)
Or
![](https://ids.lib.harvard.edu/ids/iiif/18824852/150,392,39,18/full/0/native.jpg)
Entigening
![](https://ids.lib.harvard.edu/ids/iiif/18824852/209,388,24,14/full/0/native.jpg)
like
![](https://ids.lib.harvard.edu/ids/iiif/18824852/897,562,7,7/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18824852/889,486,29,18/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18824852/893,559,3,3/full/0/native.jpg)
11
![](https://ids.lib.harvard.edu/ids/iiif/18824852/409,202,92,26/full/0/native.jpg)
Westinghouse
![](https://ids.lib.harvard.edu/ids/iiif/18824852/401,238,54,17/full/0/native.jpg)
CENTRAL
![](https://ids.lib.harvard.edu/ids/iiif/18824852/463,262,22,15/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/18824852/230,370,34,23/full/0/native.jpg)
Ranges
![](https://ids.lib.harvard.edu/ids/iiif/18824852/630,392,17,13/full/0/native.jpg)
The
![](https://ids.lib.harvard.edu/ids/iiif/18824852/645,391,24,15/full/0/native.jpg)
Triple
![](https://ids.lib.harvard.edu/ids/iiif/18824852/667,391,27,12/full/0/native.jpg)
Action
![](https://ids.lib.harvard.edu/ids/iiif/18824852/622,401,80,24/full/0/native.jpg)
HOOVER
![](https://ids.lib.harvard.edu/ids/iiif/18824852/198,416,23,16/full/0/native.jpg)
50FAS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/625,528,36,14/full/0/native.jpg)
CONVERTSI
![](https://ids.lib.harvard.edu/ids/iiif/18824852/625,538,11,9/full/0/native.jpg)
for
![](https://ids.lib.harvard.edu/ids/iiif/18824852/634,538,16,9/full/0/native.jpg)
abew
![](https://ids.lib.harvard.edu/ids/iiif/18824852/648,538,10,9/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/18824852/684,702,34,23/full/0/native.jpg)
'Ished
![](https://ids.lib.harvard.edu/ids/iiif/18824852/714,710,28,19/full/0/native.jpg)
'em...
![](https://ids.lib.harvard.edu/ids/iiif/18824852/677,713,33,22/full/0/native.jpg)
Hoover
![](https://ids.lib.harvard.edu/ids/iiif/18824852/726,724,17,20/full/0/native.jpg)
'em
![](https://ids.lib.harvard.edu/ids/iiif/18824852/139,200,681,549/full/0/native.jpg)
EEPS Fna.
Westinghouse
CENTRAL ELECTRIC
Best Cooking
Best Looking
AND
GAS CO.
Westinghouse otie Ranges
The Triple Action
HOOVER
50FAS
EXCLUSIVE POSITIV ATION
Two Greatners..
CONVERTSI
for abew the
'Ished 'em...
The Hoover pides 'em up!
![](https://ids.lib.harvard.edu/ids/iiif/18824852/693,200,19,14/full/0/native.jpg)
EEPS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/712,202,16,10/full/0/native.jpg)
Fna.
![](https://ids.lib.harvard.edu/ids/iiif/18824852/456,237,54,17/full/0/native.jpg)
ELECTRIC
![](https://ids.lib.harvard.edu/ids/iiif/18824852/170,249,24,18/full/0/native.jpg)
Best
![](https://ids.lib.harvard.edu/ids/iiif/18824852/192,251,37,21/full/0/native.jpg)
Cooking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/690,245,41,21/full/0/native.jpg)
Looking
![](https://ids.lib.harvard.edu/ids/iiif/18824852/440,252,29,12/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/18824852/429,262,27,16/full/0/native.jpg)
GAS
![](https://ids.lib.harvard.edu/ids/iiif/18824852/202,372,31,20/full/0/native.jpg)
otie
![](https://ids.lib.harvard.edu/ids/iiif/18824852/622,472,31,12/full/0/native.jpg)
EXCLUSIVE
![](https://ids.lib.harvard.edu/ids/iiif/18824852/651,469,35,14/full/0/native.jpg)
POSITIV
![](https://ids.lib.harvard.edu/ids/iiif/18824852/690,468,19,13/full/0/native.jpg)
ATION
![](https://ids.lib.harvard.edu/ids/iiif/18824852/746,476,19,14/full/0/native.jpg)
Two
![](https://ids.lib.harvard.edu/ids/iiif/18824852/764,475,56,21/full/0/native.jpg)
Greatners..
![](https://ids.lib.harvard.edu/ids/iiif/18824852/705,719,27,22/full/0/native.jpg)
pides
![](https://ids.lib.harvard.edu/ids/iiif/18824852/739,728,24,20/full/0/native.jpg)
up!