Human Generated Data

Title

Untitled (large group family portrait on lawn during reunion)
Date

1948
People

Artist: O. B. Porter Studio, American active 1930s-1940s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10831

Human Generated Data

Title

Untitled (large group family portrait on lawn during reunion)

People

Artist: O. B. Porter Studio, American active 1930s-1940s

Date

1948

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10831

Machine Generated Data

Tags

Amazon
created on 2022-01-29

Nature 99.3
Outdoors 98.9
Ice 95.2
Person 95.1
Human 95.1
Person 92.6
Person 87.9
Tree 86.3
Plant 86.3
Countryside 86.1
Person 85.5
Snow 80.9
Person 78.3
Rural 75.4
Person 74.9
Frost 74.8
People 65.9
Person 64.9
Person 64.7
Field 63.2
Horse 61.3
Mammal 61.3
Animal 61.3
Grassland 59.2
Yard 55.5
Person 52.6

Clarifai
created on 2023-10-27

people 99.5
many 98.9
group 98
group together 97.9
cavalry 97.7
tree 96.6
park 94.1
adult 93.5
man 93.3
crowd 93.1
infrared 92.6
war 91.4
military 90.2
street 87.6
home 85.8
leader 85.1
landscape 85
art 84.4
monochrome 84.1
vehicle 84.1

Imagga
created on 2022-01-29

snow 46.9
grunge 40.1
old 36.3
texture 34.8
antique 26.9
vintage 25.7
wall 25.4
pattern 25.3
grungy 24.7
rough 23.7
aged 23.6
weather 23.1
structure 21.5
frame 20.8
retro 20.5
dirty 19
wallpaper 18.4
landscape 17.9
textured 17.6
weathered 17.1
border 16.3
space 15.5
paint 15.4
damaged 15.3
paper 14.9
art 14.3
surface 14.1
brown 14
messy 13.6
design 13.5
rust 13.5
aging 13.4
tree 13
material 12.5
stained 12.5
stain 12.5
rusty 12.4
decoration 12.2
forest 12.2
ancient 12.1
black 12
color 11.7
text 11.4
fence 11.3
building 11.3
travel 11.3
architecture 10.9
city 10.8
picket fence 10.8
backdrop 10.7
torn 10.7
dirt 10.5
worn 10.5
canvas 10.4
winter 10.2
water 10
scenery 9.9
sky 9.9
season 9.4
barrier 9.3
grain 9.2
negative 9.2
dark 9.2
outdoor 9.2
mountain 9.1
digital 8.9
graphic 8.8
rock 8.7
stone 8.7
scene 8.7
obsolete 8.6
cold 8.6
blank 8.6
old fashioned 8.6
graffito 8.5
track 8.1
detail 8.1
light 8
scenic 7.9
urban 7.9
burned 7.9
artistic 7.8
sea 7.8
burnt 7.8
outdoors 7.8
decay 7.7
sand 7.4
film 7.4
tourism 7.4
mountains 7.4
geological formation 7.3
yellow 7.3
metal 7.2
romantic 7.1
river 7.1
trees 7.1
cool 7.1

Google
created on 2022-01-29

Black 89.5
Plant 87
Black-and-white 85.2
Vegetation 85.1
Style 83.8
Tree 82.9
Font 80.3
Grass 78.8
Tints and shades 77.4
Landscape 75.6
Rectangle 75.5
Natural landscape 75.2
Monochrome photography 73.9
Monochrome 73.7
Art 70.8
Twig 66.4
History 63.3
Stock photography 63.1
Visual arts 62.9
Room 61.1

Microsoft
created on 2022-01-29

tree 98.4
outdoor 93.5
text 89.7
black and white 88.4
old 43.4
image 32

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Happy 37.8%
Angry 24.1%
Calm 21.8%
Sad 9.4%
Fear 5%
Disgusted 1.1%
Surprised 0.6%
Confused 0.2%

AWS Rekognition

Age 34-42
Gender Male, 74.5%
Happy 98.4%
Calm 0.5%
Sad 0.4%
Fear 0.2%
Angry 0.2%
Surprised 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 20-28
Gender Male, 88.1%
Calm 69.2%
Happy 12.4%
Angry 8.2%
Sad 5.9%
Surprised 1.5%
Fear 1.2%
Disgusted 1.1%
Confused 0.6%

AWS Rekognition

Age 50-58
Gender Female, 70.3%
Calm 91.2%
Sad 3.9%
Happy 1.6%
Angry 1.4%
Fear 0.9%
Disgusted 0.4%
Surprised 0.4%
Confused 0.4%

AWS Rekognition

Age 16-24
Gender Male, 96.5%
Happy 44.8%
Calm 36.2%
Fear 7.7%
Sad 7.5%
Angry 1.9%
Disgusted 1.2%
Surprised 0.4%
Confused 0.3%

AWS Rekognition

Age 45-51
Gender Male, 99.6%
Calm 65.9%
Happy 21.3%
Sad 4%
Disgusted 3.1%
Angry 2.6%
Surprised 1.4%
Confused 1%
Fear 0.7%

AWS Rekognition

Age 14-22
Gender Male, 59.8%
Sad 35.3%
Happy 34.6%
Calm 21.4%
Disgusted 4.1%
Fear 2%
Angry 1.5%
Confused 0.6%
Surprised 0.4%

AWS Rekognition

Age 18-24
Gender Male, 76.8%
Calm 58.4%
Fear 20.9%
Happy 12.9%
Angry 2.5%
Sad 2.3%
Confused 1.8%
Disgusted 0.7%
Surprised 0.4%

AWS Rekognition

Age 18-24
Gender Male, 84.7%
Happy 45.3%
Calm 30.7%
Sad 11.1%
Confused 4.3%
Fear 2.7%
Disgusted 2.1%
Angry 1.9%
Surprised 1.8%

AWS Rekognition

Age 38-46
Gender Male, 99.3%
Happy 44.3%
Sad 19.2%
Calm 17.8%
Angry 7.6%
Fear 5.8%
Surprised 2.7%
Confused 1.7%
Disgusted 1%

AWS Rekognition

Age 21-29
Gender Male, 95.5%
Angry 49.8%
Calm 22.8%
Sad 15.2%
Fear 7.9%
Happy 2.8%
Disgusted 0.9%
Surprised 0.4%
Confused 0.3%

AWS Rekognition

Age 23-31
Gender Male, 99%
Fear 71.8%
Sad 18.1%
Calm 3.8%
Angry 3.2%
Happy 2.2%
Disgusted 0.4%
Confused 0.4%
Surprised 0.1%

AWS Rekognition

Age 6-14
Gender Male, 98.4%
Happy 53.5%
Calm 13.6%
Fear 12.5%
Angry 6.9%
Disgusted 5.6%
Sad 4.4%
Surprised 2.4%
Confused 1.3%

AWS Rekognition

Age 21-29
Gender Male, 91.5%
Fear 41.8%
Calm 25.1%
Happy 12.5%
Sad 12.1%
Angry 3.2%
Surprised 2.3%
Disgusted 1.9%
Confused 1.1%

AWS Rekognition

Age 33-41
Gender Male, 99.8%
Happy 50%
Calm 41.5%
Angry 3.9%
Sad 1.7%
Fear 1.1%
Surprised 1.1%
Disgusted 0.5%
Confused 0.2%

AWS Rekognition

Age 31-41
Gender Female, 62.2%
Happy 65.5%
Calm 20%
Sad 7.1%
Fear 1.9%
Disgusted 1.4%
Surprised 1.4%
Angry 1.4%
Confused 1.3%

AWS Rekognition

Age 19-27
Gender Male, 72.1%
Happy 45%
Calm 29.4%
Sad 11.5%
Angry 8.4%
Surprised 1.9%
Confused 1.8%
Disgusted 1.4%
Fear 0.6%

AWS Rekognition

Age 22-30
Gender Female, 88.4%
Calm 83.4%
Happy 6.4%
Sad 3%
Surprised 2.4%
Angry 1.8%
Fear 1.5%
Disgusted 0.7%
Confused 0.7%

AWS Rekognition

Age 11-19
Gender Male, 99.5%
Calm 87.5%
Happy 5%
Sad 2.7%
Angry 2.3%
Confused 0.9%
Fear 0.9%
Disgusted 0.4%
Surprised 0.3%

AWS Rekognition

Age 13-21
Gender Male, 92.5%
Happy 94%
Calm 1.8%
Sad 1.5%
Confused 0.9%
Fear 0.8%
Surprised 0.4%
Angry 0.4%
Disgusted 0.2%

AWS Rekognition

Age 23-33
Gender Male, 99.1%
Happy 98.4%
Calm 0.6%
Surprised 0.2%
Angry 0.2%
Sad 0.2%
Fear 0.2%
Confused 0.1%
Disgusted 0.1%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Happy 43.3%
Angry 39.7%
Calm 12.3%
Sad 2%
Fear 1.3%
Surprised 0.6%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 43-51
Gender Male, 91.4%
Calm 56.8%
Sad 24.1%
Happy 13.6%
Angry 2.1%
Surprised 1.2%
Disgusted 0.9%
Fear 0.8%
Confused 0.5%

AWS Rekognition

Age 18-26
Gender Male, 99.2%
Fear 53.3%
Sad 28.8%
Calm 8.4%
Disgusted 3%
Happy 2.9%
Angry 2%
Confused 1.1%
Surprised 0.5%

AWS Rekognition

Age 9-17
Gender Male, 95%
Calm 48.4%
Fear 23.9%
Sad 12.4%
Happy 6.5%
Angry 5.9%
Disgusted 1.5%
Confused 0.8%
Surprised 0.7%

AWS Rekognition

Age 14-22
Gender Male, 99.8%
Happy 49.4%
Calm 34.5%
Fear 6%
Angry 5.2%
Sad 3.1%
Disgusted 0.9%
Confused 0.5%
Surprised 0.4%

AWS Rekognition

Age 30-40
Gender Male, 92.9%
Happy 81.5%
Calm 13.9%
Sad 2.2%
Angry 1.1%
Disgusted 0.4%
Fear 0.4%
Surprised 0.3%
Confused 0.2%

AWS Rekognition

Age 33-41
Gender Male, 99%
Happy 79.7%
Sad 7.7%
Fear 5.3%
Calm 3.7%
Angry 2.6%
Surprised 0.4%
Disgusted 0.3%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Male, 84.7%
Calm 89%
Sad 6.6%
Fear 3.1%
Happy 0.6%
Surprised 0.3%
Angry 0.2%
Disgusted 0.2%
Confused 0.2%

AWS Rekognition

Age 14-22
Gender Male, 93.4%
Sad 91.8%
Angry 2.3%
Happy 2.2%
Calm 1.6%
Fear 1.1%
Disgusted 0.5%
Confused 0.4%
Surprised 0.2%

Feature analysis

Amazon

Person
Horse
Person 95.1%
Person 92.6%
Person 87.9%
Person 85.5%
Person 78.3%
Person 74.9%
Person 64.9%
Person 64.7%
Person 52.6%
Horse 61.3%