Human Generated Data

Title

Untitled (Crest Cleaners staff group portrait)

Date

1974

People

Artist: Ken Whitmire Associates, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19817

Human Generated Data

Title

Untitled (Crest Cleaners staff group portrait)

People

Artist: Ken Whitmire Associates, American

Date

1974

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19817

Machine Generated Data

Tags

Amazon
created on 2022-03-05

Person 99.6
Human 99.6
Person 99.6
Person 99.5
Person 99.4
Person 99.3
Person 99.2
Person 99.2
Road 99.1
Person 98.8
Person 98.7
Car 98.7
Transportation 98.7
Vehicle 98.7
Automobile 98.7
Tarmac 98.6
Asphalt 98.6
Pedestrian 98.2
Person 97.2
Person 96.8
Person 96.5
Person 95.3
Person 92.9
Person 92.1
Person 91.2
Person 76.7
Text 75.1
People 74.5
Person 68.1
Symbol 67.7
Zebra Crossing 66.4
Car 64.7
Clothing 62.6
Apparel 62.6
Billboard 58
Advertisement 58
Person 54.6

Clarifai
created on 2023-10-22

people 99.4
group together 95.5
many 94.4
man 92.7
woman 91.2
adult 90.9
education 89.1
street 87.8
school 87.3
uniform 86.8
child 83.8
group 83.5
competition 82.2
crowd 80.5
billboard 80.2
victory 78.7
spectator 74.5
transportation system 72.5
support 67.9
outfit 63.5

Imagga
created on 2022-03-05

signboard 57
scoreboard 44.8
city 34.9
board 33.7
night 32.9
structure 31.9
architecture 30.5
billboard 27.3
building 25.7
tower 24.2
sky 23.6
skyline 21.8
urban 21.8
stage 21.7
travel 21.1
downtown 20.2
sea 19.5
platform 18.8
construction 18
bridge 18
light 17.4
water 17.3
port 17.3
business 17
ocean 16.6
landmark 16.2
cityscape 16.1
industry 15.4
scene 14.7
harbor 14.4
skyscraper 14.4
office 13.9
reflection 13.8
buildings 13.2
tourism 13.2
boat 13
barroom 13
lights 13
ship 12.8
modern 12.6
district 12.6
evening 12.1
transport 11.9
industrial 11.8
transportation 11.7
bay 11.3
technology 11.1
sunset 10.8
exterior 10.1
dark 10
road 9.9
river 9.8
panoramic 9.6
dusk 9.5
panorama 9.5
illuminated 9.5
famous 9.3
energy 9.2
street 9.2
factory 8.7
tall 8.5
power 8.4
smoke 8.4
shipping 8.3
tourist 8.2
new 8.1
case 8.1
equipment 7.9
refinery 7.9
high 7.8
twilight 7.8
cloud 7.7
container 7.7
trade 7.6
destination 7.5
silhouette 7.4
town 7.4
vacation 7.4
center 7.2
history 7.2
financial 7.1

Google
created on 2022-03-05

Microsoft
created on 2022-03-05

text 100
billboard 97.9
outdoor 97.5
road 95.2
sign 82.9
person 75.7
black and white 51.6

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 16-24
Gender Female, 95.4%
Happy 89%
Sad 4.2%
Calm 2.3%
Fear 1.7%
Surprised 0.9%
Angry 0.7%
Confused 0.7%
Disgusted 0.4%

AWS Rekognition

Age 37-45
Gender Male, 88.3%
Calm 43.4%
Sad 30.9%
Happy 19.9%
Fear 2.9%
Angry 1.2%
Disgusted 0.7%
Surprised 0.5%
Confused 0.4%

AWS Rekognition

Age 31-41
Gender Male, 92.2%
Happy 98.2%
Calm 1.5%
Surprised 0.1%
Angry 0.1%
Disgusted 0.1%
Sad 0.1%
Confused 0%
Fear 0%

AWS Rekognition

Age 31-41
Gender Female, 52.9%
Calm 97.9%
Happy 0.7%
Surprised 0.4%
Sad 0.4%
Confused 0.2%
Angry 0.2%
Disgusted 0.1%
Fear 0.1%

AWS Rekognition

Age 16-22
Gender Male, 78.6%
Happy 80.5%
Calm 16.5%
Fear 1.2%
Sad 1.1%
Surprised 0.3%
Disgusted 0.2%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 43-51
Gender Male, 89.1%
Calm 89.9%
Happy 5.6%
Angry 1.7%
Fear 0.9%
Disgusted 0.8%
Sad 0.6%
Surprised 0.4%
Confused 0.2%

AWS Rekognition

Age 36-44
Gender Female, 77.5%
Happy 93%
Sad 2.8%
Calm 0.9%
Surprised 0.8%
Disgusted 0.7%
Confused 0.6%
Fear 0.6%
Angry 0.6%

AWS Rekognition

Age 25-35
Gender Female, 98%
Happy 50%
Fear 14.6%
Sad 11.9%
Calm 9.4%
Surprised 8.2%
Angry 2.5%
Disgusted 2%
Confused 1.4%

AWS Rekognition

Age 37-45
Gender Male, 71%
Happy 96.9%
Sad 1.3%
Calm 0.5%
Angry 0.4%
Fear 0.3%
Disgusted 0.2%
Surprised 0.2%
Confused 0.1%

AWS Rekognition

Age 12-20
Gender Male, 53.4%
Calm 83.3%
Confused 9.3%
Disgusted 2.2%
Happy 1.8%
Angry 1.2%
Surprised 0.9%
Sad 0.9%
Fear 0.4%

AWS Rekognition

Age 39-47
Gender Male, 83.1%
Calm 59.5%
Happy 23.7%
Sad 13.2%
Confused 1.5%
Disgusted 0.7%
Surprised 0.6%
Angry 0.5%
Fear 0.2%

AWS Rekognition

Age 19-27
Gender Male, 95.4%
Sad 46.8%
Calm 22.5%
Happy 19%
Angry 3.8%
Disgusted 2.7%
Fear 2.2%
Surprised 1.7%
Confused 1.3%

AWS Rekognition

Age 20-28
Gender Female, 65.3%
Calm 42.3%
Happy 21.5%
Angry 13.5%
Fear 13.2%
Sad 4.2%
Disgusted 2.6%
Surprised 1.7%
Confused 1%

AWS Rekognition

Age 34-42
Gender Male, 99%
Calm 81.9%
Happy 5.7%
Disgusted 4.8%
Sad 2.6%
Angry 2.2%
Fear 1.9%
Confused 0.5%
Surprised 0.3%

AWS Rekognition

Age 16-22
Gender Male, 98.3%
Calm 96.7%
Sad 2%
Angry 0.3%
Disgusted 0.3%
Confused 0.2%
Happy 0.2%
Surprised 0.2%
Fear 0.2%

AWS Rekognition

Age 24-34
Gender Male, 81%
Happy 41.6%
Calm 24.4%
Sad 11.5%
Fear 8.1%
Confused 5.2%
Surprised 5.2%
Angry 2.9%
Disgusted 1.1%

AWS Rekognition

Age 21-29
Gender Male, 99.4%
Sad 90.9%
Calm 7.2%
Happy 1.1%
Fear 0.4%
Confused 0.2%
Angry 0.2%
Disgusted 0.1%
Surprised 0%

AWS Rekognition

Age 23-31
Gender Male, 82.5%
Happy 70.5%
Calm 19.5%
Disgusted 3.6%
Sad 2.1%
Surprised 2.1%
Angry 1.1%
Fear 0.8%
Confused 0.4%

AWS Rekognition

Age 27-37
Gender Male, 94.4%
Calm 99.5%
Surprised 0.1%
Sad 0.1%
Happy 0.1%
Fear 0.1%
Disgusted 0.1%
Angry 0%
Confused 0%

AWS Rekognition

Age 29-39
Gender Male, 99.7%
Happy 55.1%
Sad 22.1%
Calm 13.7%
Confused 3.1%
Fear 1.9%
Surprised 1.5%
Disgusted 1.4%
Angry 1.3%

AWS Rekognition

Age 13-21
Gender Male, 90.5%
Happy 94.2%
Sad 2.2%
Disgusted 1.4%
Fear 0.9%
Calm 0.4%
Angry 0.3%
Surprised 0.3%
Confused 0.2%

AWS Rekognition

Age 20-28
Gender Male, 78%
Happy 59.5%
Calm 12.8%
Fear 9.7%
Angry 8.4%
Sad 5.7%
Surprised 1.9%
Disgusted 1.5%
Confused 0.6%

AWS Rekognition

Age 26-36
Gender Male, 59.2%
Calm 79.1%
Happy 19.2%
Sad 1.2%
Confused 0.2%
Fear 0.1%
Disgusted 0.1%
Angry 0.1%
Surprised 0.1%

AWS Rekognition

Age 29-39
Gender Male, 68.8%
Happy 65.3%
Calm 13.3%
Sad 10.8%
Surprised 3.4%
Confused 3.2%
Disgusted 1.9%
Fear 1.2%
Angry 0.9%

AWS Rekognition

Age 48-56
Gender Female, 98%
Calm 35.2%
Sad 26.5%
Happy 16.3%
Fear 5.5%
Disgusted 5.1%
Confused 5%
Surprised 3.4%
Angry 2.9%

AWS Rekognition

Age 34-42
Gender Female, 95.7%
Calm 97.3%
Happy 2%
Angry 0.3%
Sad 0.2%
Disgusted 0.1%
Fear 0.1%
Confused 0%
Surprised 0%

AWS Rekognition

Age 20-28
Gender Female, 59.5%
Calm 50.1%
Fear 27.7%
Sad 11%
Happy 6.8%
Confused 2.5%
Angry 0.7%
Disgusted 0.7%
Surprised 0.5%

AWS Rekognition

Age 23-33
Gender Male, 83.8%
Calm 94.4%
Happy 4.4%
Surprised 0.5%
Disgusted 0.2%
Angry 0.1%
Fear 0.1%
Sad 0.1%
Confused 0.1%

AWS Rekognition

Age 26-36
Gender Male, 93.5%
Calm 69.8%
Happy 25.7%
Fear 1%
Disgusted 1%
Sad 0.9%
Surprised 0.5%
Confused 0.5%
Angry 0.5%

AWS Rekognition

Age 24-34
Gender Male, 92.8%
Happy 55.2%
Calm 24.6%
Sad 5%
Confused 4.9%
Fear 4.1%
Surprised 3.2%
Disgusted 1.7%
Angry 1.5%

AWS Rekognition

Age 27-37
Gender Male, 88.6%
Calm 77.4%
Happy 16%
Confused 3.4%
Sad 1.3%
Disgusted 0.6%
Fear 0.6%
Surprised 0.4%
Angry 0.3%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Likely

Feature analysis

Amazon

Person
Car
Person 99.6%
Person 99.6%
Person 99.5%
Person 99.4%
Person 99.3%
Person 99.2%
Person 99.2%
Person 98.8%
Person 98.7%
Person 97.2%
Person 96.8%
Person 96.5%
Person 95.3%
Person 92.9%
Person 92.1%
Person 91.2%
Person 76.7%
Person 68.1%
Person 54.6%
Car 98.7%
Car 64.7%

Categories

Text analysis

Amazon

CREST
LINEN
1974
CLEANERS
LINEN RENTAL
RENTAL
HAPPY
HAPPY HOLIDAYS
DECEMBER 1974
HOLIDAYS
DECEMBER
ONE
WAY
Mobil
WALK
LOW
CLEARANCE

Google

CREST CLEANERS HAPPY HOLIDAYS DECEMBER 1974 LINEN RENTAL ONE WAY WALK EOW CEEARANCE Mobil
CREST
CLEANERS
HAPPY
HOLIDAYS
DECEMBER
1974
LINEN
RENTAL
ONE
WAY
WALK
EOW
CEEARANCE
Mobil