Human Generated Data

Title

Untitled (women in convertible)
Date

c. 1950
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, 4.2002.3499

Human Generated Data

Title

Untitled (women in convertible)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3499

Machine Generated Data

Tags

Amazon
created on 2022-01-22

Car 99.6
Automobile 99.6
Vehicle 99.6
Transportation 99.6
Person 98.8
Human 98.8
Person 98.8
Person 98.5
Person 96.9
Person 93.2
Person 87.3
Convertible 87.1
Person 85.7
Person 81.6
Person 79.6
Person 76.6
Sports Car 76.6
Person 75.3
Crowd 74.2
Tire 73.7
Person 73.5
Spoke 72.3
Machine 72.3
People 70.6
Person 69.8
Wheel 69.8
Person 68.7
Person 68.5
Person 68.1
Car Wheel 58.7
Watercraft 56.6
Vessel 56.6
Officer 55.9
Military 55.9
Military Uniform 55.9
Hot Rod 55.4
Person 50.4
Person 45.6

Clarifai
created on 2023-10-26

people 99.9
vehicle 99.7
many 99.3
convertible 99.2
group together 99
car 98.6
transportation system 98.6
adult 98.4
man 95.4
group 95.4
woman 94.4
driver 94.4
military 90.9
several 86.4
administration 86
war 81.8
wear 81.4
recreation 80.1
crowd 79
spectator 77.8

Imagga
created on 2022-01-22

car 85.2
vehicle 44.8
motor vehicle 37.2
automobile 36.3
speed 35.7
auto 33.5
transportation 32.2
race 25.8
transport 25.5
motor 24.2
wheel 23.5
fast 22.4
racer 22
drive 21.7
sports car 21.4
sport 20
luxury 19.7
sidecar 18.9
sports 18.5
road 18
bumper 17.2
driving 16.4
engine 16.3
modern 16.1
street 15.6
wheeled vehicle 15.2
traffic 15.2
power 15.1
city 14.1
style 14.1
travel 13.4
urban 13.1
design 12.9
motion 12.8
tire 12.8
driver 12.6
equipment 12.2
light 12
racing 11.7
lifestyle 11.6
black 10.8
cars 10.7
highway 10.6
headlight 10.5
moving 10.5
technology 10.4
elegant 10.3
device 10.2
competition 10.1
people 10
vintage 9.9
automotive 9.8
metal 9.6
track 9.6
blurred 9.6
color 9.4
movement 9.4
machine 9.4
model 9.3
mechanical device 9.2
fashion 9
new 8.9
detail 8.8
wheels 8.8
asphalt 8.8
conveyance 8.7
scene 8.6
expensive 8.6
blur 8.4
old 8.4
reflection 8.3
fun 8.2
retro 8.2
shop 7.9
shiny 7.9
business 7.9
high 7.8
mechanism 7.1

Google
created on 2022-01-22

Tire 93.2
Vehicle 92.4
Hood 91.5
Motor vehicle 88.4
Automotive lighting 88.2
Car 87.2
Wheel 83.9
Black-and-white 83.5
Line 82
Personal luxury car 79.9
Roadster 79
Font 78.1
Monochrome 77.3
Automotive exterior 77.1
Monochrome photography 77
Classic car 76.7
Automotive design 76.2
Automotive wheel system 76.1
Snapshot 74.3
Bumper 74.1

Microsoft
created on 2022-01-22

car 99.3
text 98.8
vehicle 95.5
old 93.2
transport 88
white 78.6
black 78.1
land vehicle 66.7
black and white 62.2
people 60
vintage 56.9
roof 8

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 28-38
Gender Female, 64%
Calm 40.7%
Surprised 19.9%
Fear 12.9%
Happy 9.5%
Disgusted 6.1%
Sad 5.4%
Angry 3.5%
Confused 2.1%

AWS Rekognition

Age 20-28
Gender Female, 61.6%
Calm 84.6%
Surprised 4.1%
Fear 2.8%
Angry 2.5%
Confused 2.2%
Sad 1.5%
Happy 1.4%
Disgusted 1%

AWS Rekognition

Age 23-31
Gender Female, 92.8%
Calm 73.9%
Happy 21.2%
Sad 2.3%
Disgusted 0.8%
Fear 0.7%
Angry 0.5%
Surprised 0.3%
Confused 0.2%

AWS Rekognition

Age 18-26
Gender Female, 91.9%
Happy 78%
Fear 8.2%
Sad 5.8%
Calm 4.4%
Surprised 1.3%
Angry 0.9%
Disgusted 0.8%
Confused 0.6%

AWS Rekognition

Age 23-33
Gender Male, 80.9%
Happy 82%
Calm 15.9%
Sad 0.8%
Surprised 0.4%
Fear 0.3%
Disgusted 0.2%
Angry 0.2%
Confused 0.1%

AWS Rekognition

Age 23-31
Gender Female, 95.2%
Happy 53.6%
Surprised 40.4%
Calm 2%
Angry 1.3%
Sad 0.9%
Fear 0.8%
Disgusted 0.6%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Male, 95.6%
Sad 74.3%
Calm 18.7%
Confused 3.2%
Angry 1.7%
Disgusted 0.7%
Fear 0.6%
Happy 0.4%
Surprised 0.3%

AWS Rekognition

Age 34-42
Gender Male, 97.2%
Calm 44.2%
Angry 13.6%
Surprised 10.3%
Disgusted 9.3%
Sad 8.7%
Confused 8.1%
Happy 4.6%
Fear 1.3%

AWS Rekognition

Age 31-41
Gender Male, 65.3%
Angry 33.1%
Calm 27.9%
Sad 15.1%
Happy 14.5%
Surprised 3.5%
Confused 2.5%
Disgusted 2.3%
Fear 1.1%

AWS Rekognition

Age 30-40
Gender Female, 73.5%
Calm 62.4%
Happy 9.9%
Surprised 9.1%
Angry 7.3%
Fear 4%
Sad 3.8%
Confused 2%
Disgusted 1.5%

AWS Rekognition

Age 30-40
Gender Male, 97.8%
Happy 52.4%
Calm 25.6%
Angry 12.5%
Disgusted 2.8%
Sad 2.3%
Surprised 1.9%
Confused 1.4%
Fear 1.2%

AWS Rekognition

Age 26-36
Gender Female, 97.6%
Calm 61.5%
Happy 17.3%
Angry 8.7%
Sad 4.1%
Confused 2.4%
Fear 2.4%
Surprised 1.8%
Disgusted 1.8%

AWS Rekognition

Age 16-22
Gender Male, 95.6%
Calm 91.1%
Sad 3.5%
Disgusted 1.5%
Confused 1.3%
Surprised 1%
Angry 0.9%
Happy 0.4%
Fear 0.3%

AWS Rekognition

Age 21-29
Gender Female, 52.9%
Sad 25.2%
Happy 23%
Angry 13.1%
Calm 10.2%
Surprised 9.4%
Confused 8.2%
Fear 7.8%
Disgusted 3.1%

AWS Rekognition

Age 31-41
Gender Female, 51%
Happy 92.3%
Calm 2.5%
Disgusted 1.4%
Surprised 1%
Fear 0.9%
Sad 0.8%
Angry 0.7%
Confused 0.4%

AWS Rekognition

Age 21-29
Gender Male, 69%
Calm 96.3%
Happy 2.3%
Angry 0.5%
Sad 0.3%
Surprised 0.3%
Fear 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 21-29
Gender Female, 81.8%
Calm 78%
Happy 7.9%
Disgusted 4.2%
Angry 3.5%
Sad 2.9%
Confused 2%
Surprised 1.2%
Fear 0.4%

AWS Rekognition

Age 23-33
Gender Male, 100%
Happy 68.6%
Calm 14.1%
Angry 3.9%
Surprised 3.7%
Sad 3.6%
Disgusted 3.5%
Confused 2.1%
Fear 0.6%

AWS Rekognition

Age 22-30
Gender Male, 99.7%
Calm 64.4%
Happy 26.7%
Sad 2.1%
Surprised 1.9%
Disgusted 1.7%
Fear 1.2%
Confused 1.2%
Angry 0.7%

AWS Rekognition

Age 30-40
Gender Male, 93.8%
Happy 77.9%
Surprised 8.8%
Calm 4.8%
Disgusted 2.3%
Fear 2%
Sad 1.8%
Angry 1.6%
Confused 0.8%

AWS Rekognition

Age 18-26
Gender Female, 51.8%
Angry 29.3%
Sad 26.6%
Surprised 20.1%
Happy 7.2%
Disgusted 5.7%
Calm 5.6%
Fear 3.2%
Confused 2.4%

AWS Rekognition

Age 24-34
Gender Male, 99.7%
Happy 44.6%
Calm 27.2%
Sad 20.7%
Confused 2.8%
Angry 2.1%
Disgusted 1%
Surprised 1%
Fear 0.6%

AWS Rekognition

Age 33-41
Gender Male, 99.9%
Happy 98.7%
Fear 0.3%
Sad 0.2%
Calm 0.2%
Surprised 0.2%
Angry 0.2%
Disgusted 0.1%
Confused 0.1%

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 Likely

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 Likely

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Car 99.6%
Person 98.8%

Categories

Imagga

cars vehicles 95.3%
interior objects 3.9%

Text analysis

Amazon

ARKING
KODVK-
733427