Human Generated Data

Title

Untitled (group of people sitting on and gathered around pick up trucks for scrap drive)

Date

1940

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3423

Human Generated Data

Title

Untitled (group of people sitting on and gathered around pick up trucks for scrap drive)

People

Artist: Harry Annas, American 1897 - 1980

Date

1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3423

Machine Generated Data

Tags

Amazon
created on 2022-01-22

Wheel 98.6
Machine 98.6
Wheel 96.8
Person 88
Human 88
Building 81
Architecture 77.4
Clothing 73.9
Apparel 73.9
Person 71.3
People 70.6
Nature 70.1
Person 68
Weather 64.4
Photography 62.1
Photo 62.1
Downtown 60
Urban 60
City 60
Town 60
Outdoors 59.1
Transportation 58.6
Road 58.4
Vehicle 57.6
Shorts 56.8
Monitor 56.3
Electronics 56.3
Display 56.3
Screen 56.3
Stage 55.9
Person 49.4
Person 48.3

Clarifai
created on 2023-10-26

people 98.7
many 97.3
group 96.4
furniture 91.1
adult 91
leader 90.8
landscape 88.8
art 86.6
architecture 85.7
war 85
group together 84.4
building 84.4
administration 83.9
man 83.9
wear 83.8
military 83.7
chair 82.4
vehicle 81.2
monochrome 80.6
illustration 80.3

Imagga
created on 2022-01-22

snow 49.1
structure 33.4
wheeled vehicle 31.3
weather 24.2
grunge 22.1
mobile home 20.6
winter 20.4
old 20.2
landscape 20.1
billboard 19.5
housing 18.2
sky 17.9
shopping cart 16.9
vehicle 16.8
vintage 16.6
trailer 16.5
architecture 16.4
cold 16.4
signboard 15.8
scene 15.6
travel 14.8
tree 14.6
trees 14.2
city 14.1
season 14
antique 13.9
black 13.8
handcart 13.7
building 12.5
retro 12.3
forest 12.2
car 12.1
road 11.7
house 11.7
history 11.6
pattern 11.6
grungy 11.4
light 11.4
urban 11.4
fence 11.3
construction 11.1
texture 11.1
freight car 10.9
conveyance 10.9
negative 10.8
transportation 10.8
tower 10.7
space 10.1
frame 10
scenery 9.9
drawing 9.8
rural 9.7
film 9.3
ice 9.2
outdoor 9.2
transport 9.1
park 9.1
decoration 9.1
border 9
design 9
cool 8.9
ancient 8.7
frost 8.6
frozen 8.6
old fashioned 8.6
industry 8.5
historical 8.5
wallpaper 8.4
field 8.4
grain 8.3
tourism 8.3
industrial 8.2
aged 8.1
landmark 8.1
river 8
paper 7.8
art 7.8
television 7.8
cityscape 7.6
power 7.6
street 7.4
brown 7.4
picket fence 7.4
rough 7.3
paint 7.2
color 7.2
dirty 7.2
holiday 7.2
material 7.1
day 7.1
container 7
scenic 7
seasonal 7

Google
created on 2022-01-22

Microsoft
created on 2022-01-22

text 98.7
window 92.2
black and white 90.4
old 86.6
gallery 85.8
black 85.5
white 85.2
room 76.7
scene 70
vintage 47.5
picture frame 43.4
image 33.6
entertainment center 12.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-37
Gender Male, 81.4%
Fear 68.9%
Happy 23%
Sad 4.3%
Surprised 1.1%
Angry 1%
Calm 0.9%
Disgusted 0.6%
Confused 0.2%

AWS Rekognition

Age 27-37
Gender Male, 91.8%
Fear 63.3%
Happy 12.6%
Surprised 8.2%
Calm 5.5%
Sad 3.5%
Confused 2.7%
Angry 2.3%
Disgusted 2%

AWS Rekognition

Age 14-22
Gender Male, 95.5%
Calm 96.4%
Happy 1.6%
Sad 1.1%
Angry 0.5%
Disgusted 0.2%
Fear 0.1%
Surprised 0.1%
Confused 0%

AWS Rekognition

Age 26-36
Gender Male, 89%
Happy 83.8%
Fear 4.8%
Calm 3.9%
Sad 3.5%
Angry 1.5%
Disgusted 1%
Surprised 0.9%
Confused 0.6%

AWS Rekognition

Age 16-24
Gender Female, 88%
Disgusted 69.3%
Calm 10.1%
Fear 9.4%
Sad 4.3%
Angry 2.9%
Surprised 2.5%
Happy 1.2%
Confused 0.4%

AWS Rekognition

Age 22-30
Gender Male, 91.2%
Surprised 61.6%
Calm 11.6%
Happy 9.7%
Fear 5.2%
Confused 4.8%
Sad 2.7%
Angry 2.5%
Disgusted 2%

AWS Rekognition

Age 20-28
Gender Male, 72.6%
Sad 72.7%
Calm 17.6%
Fear 4.8%
Happy 1.9%
Angry 1.4%
Disgusted 0.6%
Confused 0.5%
Surprised 0.5%

AWS Rekognition

Age 21-29
Gender Male, 97%
Happy 41.4%
Fear 35%
Sad 7.7%
Surprised 7.4%
Confused 3.8%
Disgusted 1.7%
Angry 1.7%
Calm 1.2%

AWS Rekognition

Age 29-39
Gender Male, 51.6%
Calm 56.7%
Surprised 22.7%
Angry 8.3%
Happy 4.6%
Disgusted 3.7%
Sad 2.5%
Fear 1.1%
Confused 0.6%

AWS Rekognition

Age 24-34
Gender Male, 91.8%
Happy 48.5%
Calm 39.4%
Sad 3.1%
Disgusted 3%
Fear 2.2%
Angry 2.1%
Surprised 1.2%
Confused 0.4%

AWS Rekognition

Age 6-14
Gender Female, 99.8%
Happy 83.8%
Calm 8.7%
Sad 3.3%
Disgusted 1.2%
Angry 1.2%
Fear 0.7%
Surprised 0.7%
Confused 0.5%

AWS Rekognition

Age 23-33
Gender Female, 84.4%
Happy 80.2%
Calm 10%
Fear 2.8%
Sad 2.6%
Surprised 2.4%
Angry 0.9%
Disgusted 0.7%
Confused 0.4%

AWS Rekognition

Age 48-56
Gender Male, 98.8%
Calm 68.2%
Sad 19.6%
Happy 8.5%
Confused 1.7%
Angry 0.9%
Surprised 0.4%
Disgusted 0.4%
Fear 0.3%

AWS Rekognition

Age 23-33
Gender Male, 56.3%
Calm 53%
Sad 29.1%
Angry 6.8%
Happy 5.4%
Fear 3.7%
Disgusted 0.9%
Surprised 0.8%
Confused 0.3%

AWS Rekognition

Age 29-39
Gender Male, 98.9%
Fear 94.5%
Happy 1.6%
Calm 1.2%
Sad 1%
Surprised 0.8%
Angry 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 28-38
Gender Male, 65.5%
Angry 49.9%
Calm 42.4%
Sad 2.7%
Surprised 1.5%
Disgusted 1.1%
Confused 1%
Happy 0.9%
Fear 0.4%

AWS Rekognition

Age 23-33
Gender Male, 99.3%
Calm 88.1%
Happy 5.1%
Sad 1.9%
Confused 1.4%
Disgusted 1.2%
Angry 1%
Surprised 0.7%
Fear 0.5%

AWS Rekognition

Age 33-41
Gender Female, 52.4%
Calm 35.9%
Happy 18.7%
Fear 12.1%
Sad 9.8%
Disgusted 7.4%
Angry 6.9%
Surprised 4.8%
Confused 4.4%

AWS Rekognition

Age 23-31
Gender Male, 85.3%
Angry 58.1%
Fear 18.9%
Happy 7.6%
Calm 6.1%
Sad 3.4%
Disgusted 2.8%
Surprised 2.5%
Confused 0.6%

AWS Rekognition

Age 22-30
Gender Male, 61.2%
Calm 73.1%
Sad 8.8%
Disgusted 6.4%
Happy 5.2%
Angry 3.1%
Surprised 1.6%
Confused 0.9%
Fear 0.9%

AWS Rekognition

Age 23-31
Gender Male, 92.5%
Calm 46.1%
Sad 22.8%
Happy 18.8%
Angry 3.9%
Fear 3.8%
Disgusted 3.2%
Surprised 1.1%
Confused 0.4%

Feature analysis

Amazon

Wheel 98.6%
Person 88%

Text analysis

Amazon

5