Human Generated Data

Title

Charity, Children: United States. New York. Ogdensburg. Orphan Asylum: City Hospital and Orphanage, Ogdensburg, N.Y. (Under the direction of the Grey Nuns of the Cross).
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.155

Human Generated Data

Title

Charity, Children: United States. New York. Ogdensburg. Orphan Asylum: City Hospital and Orphanage, Ogdensburg, N.Y. (Under the direction of the Grey Nuns of the Cross).

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.155

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 98
Human 98
Crowd 97.3
Person 97.1
Person 95.6
Indoors 95.1
Room 95.1
Person 93.9
Audience 86.5
Person 81.8
Person 78.7
Person 72.8
People 71.4
Building 69.1
Housing 69.1
Concert 63.4
Lecture 63
Speech 63
School 60.3
Classroom 60.3
Theater 60
Table 58.5
Furniture 58.5
Advertisement 58
Person 56.7
Person 48.8

Clarifai
created on 2019-06-05

people 99.7
many 97.7
group 97.4
adult 97
man 95.1
woman 92.6
group together 91
wear 91
furniture 90.3
room 89.6
crowd 89.1
administration 86.1
leader 81.9
chair 79.9
war 79.5
child 79.1
outfit 76.9
vehicle 76.1
indoors 75.6
music 73.7

Imagga
created on 2019-06-05

shop 39.4
people 25.1
mercantile establishment 24.9
building 19.9
business 19.4
shoe shop 19.1
window 17.2
interior 16.8
man 16.8
city 16.6
place of business 16.4
architecture 16.4
urban 15.7
office 15
boutique 14.7
salon 13.4
men 12.9
person 12.7
case 12.7
modern 12.6
hall 12.2
room 12
indoor 11.9
transportation 11.6
life 11.5
old 11.1
finance 11
glass 10.9
light 10.7
male 10.6
group 10.5
home 10.4
house 10
travel 9.9
history 9.8
women 9.5
structure 9.3
inside 9.2
silhouette 9.1
design 9
night 8.9
crowd 8.6
wall 8.5
buy 8.4
adult 8.4
vintage 8.3
tourism 8.2
transport 8.2
tourist 8.2
chair 7.9
establishment 7.9
antique 7.8
fashion 7.5
counter 7.5
shopping 7.3
historic 7.3
board 7.2
lifestyle 7.2
black 7.2
financial 7.1
indoors 7

Google
created on 2019-06-05

Photograph 97
Text 92.2
Snapshot 88.2
Photography 76.4
Room 74.4
Crowd 69.2
Black-and-white 68.3
Adaptation 67
History 64.5
Photographic paper 63.9
Stock photography 59.4
Square 52.2
Art 50.2

Microsoft
created on 2019-06-05

person 97.7
gallery 86.7
room 85
scene 84.8
sign 80.3
clothing 55.1
posing 46.2
screenshot 30.8
event 26.2
sale 10.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 12-22
Gender Female, 50%
Surprised 45.1%
Happy 45.1%
Sad 54.1%
Angry 45.2%
Disgusted 45%
Confused 45.1%
Calm 45.5%

AWS Rekognition

Age 4-9
Gender Female, 53.3%
Calm 46.2%
Surprised 46.9%
Happy 45.6%
Disgusted 45.3%
Angry 45.4%
Sad 49.8%
Confused 45.8%

AWS Rekognition

Age 14-25
Gender Male, 52.1%
Disgusted 45.3%
Sad 50.7%
Calm 46.3%
Confused 45.8%
Happy 45.6%
Surprised 45.5%
Angry 45.9%

AWS Rekognition

Age 4-7
Gender Female, 50.3%
Surprised 49.6%
Disgusted 49.8%
Angry 49.7%
Sad 49.7%
Happy 49.5%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Happy 45.8%
Disgusted 45.2%
Sad 47.8%
Surprised 45.2%
Confused 45.3%
Calm 50.4%
Angry 45.3%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Calm 49.6%
Angry 49.5%
Happy 49.6%
Sad 49.8%
Surprised 49.6%
Confused 49.6%
Disgusted 49.8%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Disgusted 49.7%
Happy 49.5%
Angry 49.8%
Surprised 49.5%
Sad 49.9%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Calm 49.9%
Surprised 49.5%
Confused 49.5%
Sad 50%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 49.8%
Angry 49.7%
Happy 49.6%
Surprised 49.6%
Confused 49.6%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.6%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 4-7
Gender Female, 50.5%
Happy 49.6%
Sad 50.2%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 50.4%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Calm 49.6%
Happy 49.6%
Angry 50%
Sad 49.7%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.7%
Happy 49.5%
Angry 49.6%
Sad 50.1%

AWS Rekognition

Age 17-27
Gender Male, 50.5%
Happy 49.5%
Sad 50.3%
Surprised 49.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.1%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.5%
Angry 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.6%
Angry 49.5%
Surprised 49.5%
Sad 50.2%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.7%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.8%
Disgusted 49.5%
Sad 50.1%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 50.1%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%
Angry 49.5%
Happy 49.6%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.5%
Angry 49.6%
Confused 49.6%
Calm 49.7%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%
Sad 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.8%
Sad 49.7%
Angry 49.7%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 19-36
Gender Male, 50.3%
Calm 49.6%
Disgusted 49.5%
Angry 49.8%
Happy 49.5%
Sad 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 50.1%
Calm 49.6%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Calm 49.7%
Confused 49.5%
Happy 49.5%
Sad 50.1%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Sad 49.9%
Angry 49.6%
Disgusted 49.7%
Happy 49.6%

AWS Rekognition

Age 2-5
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Sad 49.7%
Confused 49.7%
Calm 50%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50%
Happy 49.5%
Sad 49.8%
Surprised 49.6%
Angry 49.7%
Calm 49.6%
Disgusted 49.5%
Confused 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.5%
Happy 49.7%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 50%
Angry 49.6%

Feature analysis

Amazon

Person 98%

Text analysis

Amazon

City
Orphanage,
Ogrdensburg.
and
City Hospital and Orphanage, Ogrdensburg. N. Y.
Hospital
N. Y.
DNNG
GENMAL DNNG POOM
POOM
Gey Nus
(U'ndder
GENMAL

Google

City Hospital and Orphanage, Ogdensburg, N. Y. (Uader the direction of the Grey Nuss of the Cross). A SCHOOL MOOM GENERAL DINNG-AOOM
City
Hospital
and
Orphanage,
Ogdensburg,
N.
Y.
(Uader
the
direction
of
Grey
Nuss
Cross).
A
SCHOOL
MOOM
GENERAL
DINNG-AOOM