Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Salvation Army Work for Children: Salvation Army: Germany: Work with Children.: Creche of Pforzheim.
Date

c. 1903
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, 3.2002.2559.2

Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Salvation Army Work for Children: Salvation Army: Germany: Work with Children.: Creche of Pforzheim.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2559.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 98.1
Person 98.1
Person 97.2
Person 96.6
Person 95.8
Person 94.9
Person 91.9
People 91.5
Person 89.5
Painting 86.9
Art 86.9
Person 86.5
Person 83.6
Indoors 78.8
Room 78.8
Person 76.3
Person 70
Apparel 68.9
Clothing 68.9
Person 60.7
Furniture 59
Kindergarten 57.2
Family 56.4
Face 55.6

Clarifai
created on 2019-06-04

people 99.9
group 99
group together 98
many 96.6
adult 96.6
child 94.6
man 93.5
several 93.3
woman 92.3
wear 86.2
boy 82.5
five 81.6
recreation 81.3
administration 77.6
leader 75.4
family 74.4
war 73.2
veil 72.9
portrait 71.8
outfit 71.5

Imagga
created on 2019-06-04

grunge 35.7
old 34.1
vintage 30.2
antique 25.8
texture 24.3
paper 23.8
retro 22.9
aged 22.6
flower 21.5
wallpaper 20.7
ancient 16.4
material 16.1
art 15.9
blank 15.4
frame 15.3
floral 15.3
leaf 14.8
design 14.1
dirty 13.5
decay 13.5
stain 13.4
decoration 13.3
card 13.2
wall 13.1
style 12.6
decorative 12.5
brown 12.5
structure 12.3
grungy 12.3
artistic 12.2
grain 12
love 11.8
smudged 11.8
grime 11.7
fracture 11.7
empty 11.2
clothing 11
graphic 10.9
pattern 10.9
painterly 10.8
silhouette 10.8
mottled 10.7
obsolete 10.5
page 10.2
greeting 10.2
wedding 10.1
space 10.1
rough 10
surface 9.7
damaged 9.5
ornament 9.5
ornate 9.1
effect 9.1
painting 9
textured 8.8
edge 8.6
aging 8.6
worn 8.6
rusty 8.6
textures 8.5
rose 8.4
people 8.4
plants 8.3
sign 8.3
border 8.1
bride 8.1
backgrounds 8.1
interior 8
decor 8
holiday 7.9
rustic 7.8
chandelier 7.8
crumpled 7.8
sepia 7.8
scrapbook 7.8
bouquet 7.7
torn 7.7
men 7.7
detailed 7.7
canvas 7.6
backdrop 7.4
letter 7.3
business 7.3
stucco 7.1
architecture 7

Google
created on 2019-06-04

Photograph 96.1
People 94.1
Snapshot 84.9
Family 71
Vintage clothing 66.6
Child 64.5
Photography 62.4

Microsoft
created on 2019-06-04

clothing 99.3
person 99
human face 97.7
smile 97
old 95.4
baby 93.6
toddler 89.9
woman 85.4
family 69.6
child 61.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 10-15
Gender Female, 99.2%
Disgusted 1.4%
Happy 3.5%
Sad 10.8%
Angry 23.4%
Calm 57.3%
Confused 1.9%
Surprised 1.8%

AWS Rekognition

Age 10-15
Gender Female, 55%
Confused 45.3%
Angry 46%
Disgusted 45.1%
Surprised 45.1%
Sad 48.1%
Happy 45.3%
Calm 50.1%

AWS Rekognition

Age 4-7
Gender Female, 53.6%
Disgusted 45.4%
Sad 51.3%
Surprised 45.4%
Calm 46.3%
Angry 45.9%
Happy 45.4%
Confused 45.3%

AWS Rekognition

Age 6-13
Gender Female, 52.2%
Confused 45.2%
Angry 50.4%
Surprised 45.2%
Sad 48.7%
Disgusted 45.1%
Calm 45.2%
Happy 45.1%

AWS Rekognition

Age 14-23
Gender Female, 54.8%
Angry 45.4%
Disgusted 45.1%
Sad 46.7%
Confused 45.3%
Happy 46.7%
Surprised 45.2%
Calm 50.6%

AWS Rekognition

Age 35-52
Gender Female, 52%
Surprised 45.2%
Calm 51.5%
Happy 45.1%
Sad 45.8%
Angry 46.2%
Confused 45.3%
Disgusted 45.9%

AWS Rekognition

Age 15-25
Gender Male, 51.9%
Confused 45.1%
Angry 45.1%
Happy 45.1%
Sad 45.4%
Disgusted 45.1%
Surprised 45%
Calm 54.1%

AWS Rekognition

Age 4-7
Gender Female, 50.6%
Calm 46.4%
Happy 45.8%
Angry 46.1%
Sad 48.9%
Surprised 46.2%
Confused 46.1%
Disgusted 45.4%

AWS Rekognition

Age 10-15
Gender Female, 53.2%
Calm 46.9%
Disgusted 46%
Angry 49.8%
Sad 45.7%
Happy 45.6%
Confused 45.2%
Surprised 45.7%

AWS Rekognition

Age 1-5
Gender Female, 52.9%
Disgusted 45.2%
Calm 46.5%
Surprised 45.3%
Angry 46.2%
Sad 50.2%
Confused 46.3%
Happy 45.3%

AWS Rekognition

Age 6-13
Gender Male, 54.3%
Angry 46%
Calm 47.7%
Sad 48.8%
Disgusted 45.7%
Happy 45.1%
Confused 46.3%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Happy 45.2%
Surprised 45.7%
Angry 46.7%
Sad 46%
Confused 46.3%
Calm 49.8%
Disgusted 45.3%

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 10
Gender Female

Microsoft Cognitive Services

Age 38
Gender Female

Microsoft Cognitive Services

Age 49
Gender Female

Microsoft Cognitive Services

Age 3
Gender Female

Microsoft Cognitive Services

Age 0
Gender Male

Microsoft Cognitive Services

Age 0
Gender Male

Microsoft Cognitive Services

Age 14
Gender Female

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 3
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 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 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 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

Feature analysis

Amazon

Person 98.1%
Painting 86.9%

Categories

Imagga

people portraits 63.8%
paintings art 35.4%