Human Generated Data

Title

Jukebox, Tootsie's Orchid Lounge, Nashville, TN
Date

1972, printed later
People

Artist: Henry Horenstein, American born 1947
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Norman Starr, 2021.583
Copyright

© Henry Horenstein

Human Generated Data

Title

Jukebox, Tootsie's Orchid Lounge, Nashville, TN

People

Artist: Henry Horenstein, American born 1947

Date

1972, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Norman Starr, 2021.583

Copyright

© Henry Horenstein

Machine Generated Data

Tags

Amazon
created on 2022-12-07

Person 97.9
Bride 97.9
Woman 97.9
Adult 97.9
Female 97.9
Wedding 97.9
Person 97.2
Person 97.2
Person 95.8
Person 95.6
Person 95.4
Person 95.4
Person 94.1
Person 92.7
Person 91
Person 88.4
Person 87.5
Head 86.2
Face 86.2
Person 85.6
Electronics 84.5
Person 84.2
Person 83.7
Person 82.9
Person 82.1
Person 81.5
Person 81.3
Person 74
Clothing 73.1
Shoe 73.1
Footwear 73.1
Person 69.7
Person 67.8
Screen 61.7
Person 61.3
Game 60.1
Person 60.1
Monitor 57.3
Hardware 57.3
Computer Hardware 57.3
Indoors 55.9
Radio 55.7

Clarifai
created on 2023-10-12

people 99.7
music 98.1
one 96.8
group 96.4
monochrome 96.1
retro 94.9
street 93.9
no person 93.7
vintage 93.6
adult 93.3
analogue 91.8
print 90
antique 89.6
art 89.4
five 89.4
many 88.5
old 88.4
furniture 87.5
wireless communication 87.2
vehicle 87.1

Imagga
created on 2022-12-07

jukebox 31
radio 25.3
machine 24.9
record player 24.8
device 24
radio receiver 23.6
equipment 23.5
receiver 19.8
computer 19.1
electronic equipment 18
business 17.6
technology 16.3
set 14.7
building 13.7
old 13.2
home 12.8
hardware 12.5
monitor 12.2
room 11.9
architecture 11.7
house 11.7
interior 11.5
communication system 11.2
modern 11.2
finance 11
currency 10.8
digital 10.5
television 10.5
electronics 10.4
money 10.2
office 10.1
3d 10.1
cash 10.1
vintage 9.9
bank 9.8
appliance 9.8
apartment 9.6
broadcasting 9.5
window 9.5
dollar 9.3
city 9.1
black 9
design 9
information 8.8
control 8.8
exchange 8.6
industry 8.5
card 8.5
banking 8.3
retro 8.2
metal 8
antique 7.9
urban 7.9
art 7.8
glass 7.8
film 7.7
network 7.7
bill 7.6
screen 7.6
keyboard 7.5
wood 7.5
close 7.4
telecommunication 7.3
data 7.3
new 7.3
camera 7.2
server 7.1
steel 7.1
paper 7.1

Google
created on 2022-12-07

Black 89.6
Black-and-white 84.5
Font 83.9
Style 83.8
Art 78.2
Picture frame 76.7
Monochrome photography 75.4
Monochrome 74.6
Audio equipment 71.6
Machine 66.6
Room 65.8
Rectangle 65.2
Visual arts 63.6
Stock photography 63.2
Illustration 62.4
Building 62.2
Office equipment 59.7
Collection 57.6
Electronic instrument 55.8
Drawing 53.9

Microsoft
created on 2022-12-07

text 99.9
black and white 71.8
cartoon 58.9
several 11.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 23-31
Gender Male, 99.4%
Happy 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.3%
Disgusted 0.1%
Confused 0.1%
Angry 0%

AWS Rekognition

Age 35-43
Gender Male, 99.5%
Calm 95.4%
Surprised 6.3%
Fear 6%
Happy 2.6%
Sad 2.2%
Confused 0.6%
Angry 0.4%
Disgusted 0.2%

AWS Rekognition

Age 52-60
Gender Male, 96.4%
Calm 84.3%
Surprised 6.9%
Confused 6.4%
Fear 6.1%
Angry 4.2%
Sad 2.6%
Disgusted 1%
Happy 0.8%

AWS Rekognition

Age 23-33
Gender Male, 95.7%
Happy 95.7%
Surprised 6.5%
Fear 6%
Calm 2.4%
Sad 2.2%
Angry 0.4%
Confused 0.3%
Disgusted 0.3%

AWS Rekognition

Age 26-36
Gender Female, 100%
Disgusted 48.7%
Surprised 19.6%
Calm 12%
Sad 8.4%
Fear 7%
Confused 4.8%
Angry 4.8%
Happy 1.8%

AWS Rekognition

Age 33-41
Gender Male, 99.8%
Happy 76.8%
Sad 17.6%
Surprised 7%
Fear 6.3%
Calm 2.6%
Angry 1%
Disgusted 0.7%
Confused 0.6%

AWS Rekognition

Age 35-43
Gender Male, 99.9%
Happy 97.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 1.6%
Angry 0.2%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 28-38
Gender Male, 99.9%
Calm 85.1%
Surprised 8.6%
Fear 6.2%
Confused 4.3%
Sad 3.5%
Angry 0.9%
Disgusted 0.7%
Happy 0.6%

AWS Rekognition

Age 25-35
Gender Female, 76.9%
Calm 69.5%
Happy 27.7%
Surprised 6.4%
Fear 6.1%
Sad 2.5%
Disgusted 0.3%
Angry 0.2%
Confused 0.2%

AWS Rekognition

Age 29-39
Gender Male, 97.2%
Happy 72.4%
Calm 23.8%
Surprised 6.4%
Fear 6%
Sad 2.6%
Confused 0.8%
Angry 0.5%
Disgusted 0.4%

AWS Rekognition

Age 23-33
Gender Female, 99.9%
Happy 83.2%
Fear 12.4%
Surprised 6.5%
Sad 2.4%
Calm 1.9%
Angry 0.7%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 50-58
Gender Male, 100%
Calm 89.3%
Surprised 6.8%
Fear 6.5%
Disgusted 3.1%
Happy 2.6%
Sad 2.3%
Confused 1.1%
Angry 0.7%

AWS Rekognition

Age 41-49
Gender Male, 97.6%
Calm 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Angry 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 23-33
Gender Female, 74.3%
Angry 52.9%
Confused 21.5%
Fear 9.5%
Happy 8.6%
Surprised 7.3%
Sad 3.4%
Calm 2.9%
Disgusted 1.1%

AWS Rekognition

Age 45-53
Gender Male, 99.3%
Happy 96.1%
Surprised 6.7%
Fear 6%
Sad 2.3%
Calm 1.4%
Disgusted 0.5%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 6-14
Gender Female, 91.2%
Sad 99.9%
Fear 8.2%
Calm 8%
Surprised 6.8%
Confused 4.2%
Happy 4.2%
Disgusted 2.1%
Angry 2%

AWS Rekognition

Age 16-24
Gender Female, 63%
Calm 81.6%
Sad 7%
Surprised 6.7%
Fear 6.2%
Disgusted 3.3%
Angry 3.1%
Confused 1%
Happy 0.5%

AWS Rekognition

Age 23-31
Gender Female, 99.9%
Calm 42.1%
Angry 13.9%
Disgusted 12.4%
Surprised 11.3%
Sad 9.4%
Fear 8.2%
Confused 5.9%
Happy 2.2%

AWS Rekognition

Age 29-39
Gender Male, 95.8%
Calm 95.9%
Surprised 6.5%
Fear 6.1%
Sad 2.4%
Angry 0.9%
Disgusted 0.6%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Female, 66.3%
Calm 96.9%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Happy 1.6%
Angry 0.4%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 27-37
Gender Male, 100%
Calm 98.6%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Happy 0.2%
Angry 0.1%
Disgusted 0.1%
Confused 0%

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 46
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 40
Gender Male

Microsoft Cognitive Services

Age 37
Gender Female

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 97.9%
Bride 97.9%
Woman 97.9%
Adult 97.9%
Female 97.9%
Shoe 73.1%

Categories

Imagga

cars vehicles 86.7%
paintings art 5.9%
interior objects 5.8%

Captions

Microsoft
created on 2022-12-07

calendar 80%

Text analysis

Amazon

THE
COUNTRY
DICKENS
JIMMY
THE COUNTRY во
GOODTIME
RITA
SELECTION
PRESEN
ES
Sings
JON
RCI JON ES
во
REED
ROCK-OL
RCI
92
LITTLE JIMMY DICKENS PRESEN
doer Sings
Badweiser
IRRY REED
MI
doer
LITTLE
Cartel's
IRRY
four
YOU MI
ROCK-OL ALLL
boy
obinson
DUY
11
YOU
uns
Cartais
JOHNNYCASH
ALLL
Geral's

Google

ARIBOU
JOHNNY
CASIL
متناسب
JEAR
TIME
GEORGE
ONES
coer
IRRY
REED
I
Cur
Country
L
Budweiser
(
92
)
BIED
GOODTIME
N4
F4
M4
SELECTION
C
NS
RS
$
HS
HE
16
fOUR
JUY
.
JAR
07
A7
87
C7
FI
GI
Vertels
17
MEREO
JIMMY
PRESEN
COUNTRY
BO
PLAYING
H8
18
K8
N8
S8
T8
U8
QUARTER
HALF
DOLLAR
MARITA
WAS
STREET
&
ROCK
-
OL
LLL
CiNow
aime
MED
boys
obinson
ARIBOU JOHNNY CASIL 017-1 متناسب JEAR TIME GEORGE ONES coer Sings IRRY REED I Cur Country L REEVES- Budweiser M.J (92) BIED GOODTIME N4 F4 M4 SELECTION PLAYING MARI C NS P5 05 RS $5 15 US 05 ES GS HS BR HE B N6 06 C6 06 E6 F6 G6 H6 16 fOUR JUY. JAR 07 A7 87 C7 FI GI Vertels 17 MEREO LITTLE JIMMY DICKENS PRESEN THE COUNTRY BO SELECTION PLAYING 68 H8 18 K8 N8 A8 S8 T8 U8 PRICE 10 QUARTER HALF DOLLAR MARITA WAS STREET & ROCK-OL LLL Vertels 92 CiNow aime MED boys obinson ON
017-1
Sings
REEVES
M.J
MARI
P5
05
5
15
US
ES
GS
BR
B
N6
06
C6
E6
F6
G6
H6
LITTLE
DICKENS
THE
68
A8
PRICE
10
ON