Human Generated Data

Title

Untitled (portrait of Boy Scout troop 105 from Manchester, NH)
Date

1939
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4111

Human Generated Data

Title

Untitled (portrait of Boy Scout troop 105 from Manchester, NH)

People

Artist: Durette Studio, American 20th century

Date

1939

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4111

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 99.5
Person 99.5
Person 99
Accessory 98.8
Accessories 98.8
Tie 98.8
Person 98.8
Person 98.4
Person 98.4
Person 98.4
Person 98.3
Person 97.9
Person 97.3
Person 97
Person 93.3
Person 84.1
Person 81.9
Indoors 81.4
Face 81.2
Person 80.4
Room 80.4
Person 79.9
People 79
Clothing 75
Apparel 75
Tie 72.9
Person 72.8
Female 71.9
Crowd 71.8
Photo 64.8
Portrait 64.8
Photography 64.8
Kid 64.5
Child 64.5
Girl 62.7
Dress 58.1
Swimwear 56.9
Tie 56.8
Person 54.7

Clarifai
created on 2019-06-01

desktop 96.1
illustration 93.2
vector 93.2
people 92.6
modern 89.1
abstract 88.6
group 88.3
graphic 88.1
image 86.8
design 86.6
man 85.1
decoration 85
woman 85
ball-shaped 84.5
technology 84.5
art 83
network 81.7
light 80.3
spherical 79.9
child 79.2

Imagga
created on 2019-06-01

hospital 25.5
people 21.2
crowd 18.2
silhouette 18.2
group 17.7
grunge 15.3
art 14.3
design 13.5
man 13.4
negative 13.3
men 12.9
person 12.6
male 12
party 12
black 12
texture 11.8
light 11.3
human 11.2
hand 10.6
color 10.6
film 10.4
celebration 10.4
business 10.3
women 10.3
gymnasium 10.2
modern 9.8
old 9.7
body 9.6
splash 9.6
adult 9.5
symbol 9.4
dance 9.3
drop 9.1
paint 9
blackboard 9
style 8.9
happy 8.8
graphic 8.7
couple 8.7
liquid 8.7
water 8.7
happiness 8.6
motion 8.6
world 8.5
wallpaper 8.4
fun 8.2
pattern 8.2
shape 8.2
athletic facility 8.2
aged 8.1
decoration 8
urban 7.9
clear 7.8
life 7.7
health 7.6
walking 7.6
vintage 7.4
close 7.4
backdrop 7.4
speed 7.3
digital 7.3
drawing 7.2
dirty 7.2
holiday 7.2
transparent 7.2
working 7.1
antique 7
surface 7

Google
created on 2019-06-01

White 97.1
Photograph 97
Snapshot 82.9
Team 79.7
Room 71.4
Photography 70.6
Black-and-white 68.3
Crowd 62.7
Class 60.4
Stock photography 59.4
Crew 57.8
Monochrome 54.4
Style 51

Microsoft
created on 2019-06-01

person 94.9
posing 84
window 83.9
clothing 73.4
man 63.4
old 49.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Sad 47.7%
Angry 45.5%
Calm 48.2%
Confused 46.4%
Disgusted 45.3%
Happy 45.5%
Surprised 46.5%

AWS Rekognition

Age 23-38
Gender Female, 53.2%
Angry 45.3%
Confused 45.4%
Surprised 45.2%
Happy 45.1%
Sad 52.5%
Calm 46.2%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Female, 51.5%
Confused 45.5%
Surprised 45.4%
Angry 45.5%
Calm 45.8%
Disgusted 45.3%
Sad 52.1%
Happy 45.4%

AWS Rekognition

Age 45-66
Gender Female, 54.3%
Disgusted 45.2%
Angry 45.2%
Confused 45.3%
Sad 45.5%
Happy 45.6%
Calm 52.8%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Female, 51%
Confused 45.4%
Surprised 45.3%
Happy 45.6%
Angry 45.5%
Sad 48.8%
Disgusted 48.9%
Calm 45.6%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Happy 47.3%
Surprised 46.4%
Calm 48%
Sad 45.6%
Disgusted 45.5%
Angry 45.3%
Confused 46.7%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Surprised 46.1%
Happy 45.7%
Disgusted 47.5%
Calm 46.4%
Sad 47.6%
Confused 46.1%
Angry 45.6%

AWS Rekognition

Age 20-38
Gender Female, 54.8%
Confused 45.3%
Surprised 45.2%
Happy 45.7%
Calm 46.4%
Sad 51.7%
Disgusted 45.3%
Angry 45.2%

AWS Rekognition

Age 35-52
Gender Female, 54.7%
Happy 49.6%
Sad 45.7%
Confused 45.3%
Angry 45.2%
Disgusted 45.3%
Surprised 45.5%
Calm 48.3%

AWS Rekognition

Age 16-27
Gender Female, 50.8%
Confused 45.9%
Surprised 46.4%
Happy 47.1%
Calm 46.8%
Sad 46.4%
Disgusted 45.7%
Angry 46.8%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Angry 45.4%
Sad 45.8%
Disgusted 45.4%
Happy 46.8%
Calm 51.1%
Surprised 45.4%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 55%
Surprised 45.6%
Sad 49.7%
Happy 45.4%
Angry 46.2%
Disgusted 45.3%
Confused 46.1%
Calm 46.6%

AWS Rekognition

Age 23-38
Gender Female, 54.8%
Surprised 46%
Sad 48%
Angry 45.7%
Disgusted 46.4%
Calm 47.3%
Happy 46.2%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Disgusted 45.6%
Confused 45.4%
Sad 46.8%
Happy 45.9%
Angry 45.4%
Surprised 45.4%
Calm 50.5%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Happy 45.6%
Sad 46.4%
Surprised 45.3%
Confused 45.2%
Disgusted 45.4%
Calm 51.8%
Angry 45.3%

AWS Rekognition

Age 26-44
Gender Female, 53.3%
Disgusted 45.6%
Surprised 47.4%
Angry 45.6%
Confused 45.3%
Sad 46.5%
Calm 47.3%
Happy 47.2%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Disgusted 45.6%
Happy 46.1%
Surprised 45.3%
Sad 47.6%
Angry 45.2%
Confused 45.2%
Calm 50%

AWS Rekognition

Age 11-18
Gender Female, 54.8%
Sad 46.7%
Happy 47.1%
Confused 45.4%
Angry 45.4%
Surprised 45.5%
Disgusted 45.6%
Calm 49.4%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 46.1%
Surprised 46.4%
Calm 48.5%
Sad 45.8%
Confused 45.9%
Disgusted 46.5%
Happy 45.8%

AWS Rekognition

Age 23-38
Gender Female, 52.5%
Happy 45.3%
Sad 46.4%
Surprised 45.3%
Confused 45.2%
Disgusted 45.4%
Calm 52.1%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 45.2%
Sad 46%
Calm 53.1%
Confused 45.2%
Surprised 45.1%
Happy 45.2%
Angry 45.1%

AWS Rekognition

Age 19-36
Gender Female, 52.1%
Angry 45.4%
Sad 49.5%
Happy 45.5%
Confused 45.8%
Surprised 45.3%
Calm 48.1%
Disgusted 45.4%

AWS Rekognition

Age 35-52
Gender Female, 55%
Happy 45.9%
Disgusted 45.4%
Sad 47.5%
Surprised 45.8%
Angry 45.3%
Calm 49.2%
Confused 45.9%

AWS Rekognition

Age 35-52
Gender Female, 53.6%
Angry 45.3%
Surprised 45.4%
Calm 46.5%
Sad 47.7%
Confused 45.5%
Disgusted 45.4%
Happy 49.3%

AWS Rekognition

Age 14-25
Gender Male, 51.1%
Happy 46.4%
Calm 49.8%
Angry 45.3%
Surprised 45.6%
Disgusted 45.4%
Confused 45.3%
Sad 47.1%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Disgusted 45.4%
Confused 46.5%
Sad 49.5%
Happy 45.1%
Angry 45.8%
Surprised 46.2%
Calm 46.6%

AWS Rekognition

Age 23-38
Gender Male, 54.2%
Angry 45.3%
Disgusted 45.1%
Confused 45.3%
Calm 50.1%
Sad 48.8%
Surprised 45.2%
Happy 45.2%

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Disgusted 45.2%
Confused 45.4%
Angry 45.6%
Calm 49.4%
Surprised 45.3%
Happy 46%
Sad 48.2%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Happy 45.6%
Confused 45.7%
Angry 45.3%
Disgusted 45.2%
Surprised 45.5%
Sad 49.2%
Calm 48.4%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Confused 45.7%
Angry 45.5%
Sad 47.4%
Calm 48.2%
Disgusted 45.7%
Happy 46.6%
Surprised 45.8%

AWS Rekognition

Age 26-43
Gender Female, 53.2%
Happy 45.3%
Calm 47.1%
Angry 45.4%
Surprised 45.6%
Disgusted 45.5%
Confused 47%
Sad 49.1%

Feature analysis

Amazon

Person 99.5%
Tie 98.8%

Categories

Imagga

interior objects 64.8%
paintings art 30.4%
text visuals 4.4%

Text analysis

Amazon

ROOP
ROOP 105
105
N.H.
Hes N.H.
Hes

Google

ROOP 105 CHES N. H
ROOP
105
CHES
N.
H