Human Generated Data

Title

Travel Power: The North Vietnamese have conditioned themselves for a war which, according to official Hanoi predictions, may last 10 to 20 years. While the people live their daily lives under anti-aircraft fortifications and machine guns in upper-story windows throughout the towns, commerce and industry continue. Despite the war and the bombings, this tramline in Hanoi continues a cheap means of transportation to the populace. One woman is seated, left, on the opening to a bomb shelter
Date

1967
People

Artist: Amando Doronila, Philippine born 1928
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2021.559

Human Generated Data

Title

Travel Power: The North Vietnamese have conditioned themselves for a war which, according to official Hanoi predictions, may last 10 to 20 years. While the people live their daily lives under anti-aircraft fortifications and machine guns in upper-story windows throughout the towns, commerce and industry continue. Despite the war and the bombings, this tramline in Hanoi continues a cheap means of transportation to the populace. One woman is seated, left, on the opening to a bomb shelter

People

Artist: Amando Doronila, Philippine born 1928

Date

1967

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2021.559

Machine Generated Data

Tags

Amazon
created on 2023-06-22

Terminal 99.7
Railway 99.7
Train Station 99.7
Transportation 99.7
Vehicle 99.7
Person 98.7
Person 98.5
Person 98
Person 97.7
Person 96.6
Person 96.5
Person 96.4
Person 96.2
Person 95.9
Person 95.7
Person 95.7
Boy 95.7
Child 95.7
Male 95.7
Person 95.7
Bicycle 95.6
Person 95
Person 94.7
Person 94.6
Person 94.5
Person 94.3
Person 94.1
Person 94.1
Machine 94
Wheel 94
Wheel 93.6
Person 93.1
Wheel 90.8
Bicycle 90.7
Person 89.6
Wheel 88.6
Clothing 88.4
Footwear 88.4
Shoe 88.4
Person 88.3
Person 88.2
Bicycle 87.2
Train 86.9
Bicycle 86.8
Bicycle 86.8
Formal Wear 81.9
Person 79
Shoe 78.5
Accessories 78.4
Bag 78.4
Handbag 78.4
Person 78.2
Wheel 78.1
Person 77.9
Hat 73.3
Wheel 72
Shoe 72
Person 71.9
Bicycle 70.9
Head 69.7
Shoe 69.4
Face 68.9
Person 68.3
Person 63.2
Person 62.2
Handbag 61.3
Handbag 60.5
Dress 57.9
Fashion 57.9
Gown 57.9
Helmet 57.6
People 55.8
Cycling 55.5
Sport 55.5

Clarifai
created on 2023-10-13

people 99.9
group together 99.7
group 99.4
many 99.2
railway 99.1
transportation system 98.8
vehicle 98.7
train 98.2
street 97.8
man 97.3
adult 97.3
child 97.1
woman 91.5
road 91.3
war 91.1
crowd 91
monochrome 89.5
two 89
tram 88.4
several 88.4

Imagga
created on 2023-06-22

snow 100
track 69.4
winter 51.1
weather 46.6
cold 36.2
landscape 32.7
trees 30.3
road 26.2
tree 25.4
forest 24.4
street 23.9
travel 23.2
snowy 22.4
sky 21.1
city 20.8
park 20.6
sidewalk 20.4
season 19.5
frost 18.2
ice 17.8
urban 15.7
old 15.3
transportation 15.2
tracks 14.8
train 14.4
town 13.9
scene 13.9
railway 13.7
outdoors 13.7
building 13.5
scenic 13.2
outdoor 13
station 13
light 12.7
scenery 12.6
house 12.5
mountain 12.5
rural 12.3
country 12.3
rail 11.8
freeze 11.7
frozen 11.5
path 11.3
mountains 11.1
transport 11
branch 10.9
architecture 10.9
rails 10.9
new england 10.9
way 10.8
frosty 10.8
trail 10.7
storm 10.6
pine 10.5
woods 10.5
ski 10.1
snowing 9.9
railroad 9.8
river 9.8
new 9.7
seasonal 9.6
car 9.2
peaceful 9.2
tourist 9.1
blizzard 8.9
snowfall 8.9
perspective 8.5
semaphore 8.5
row 8.4
wood 8.3
morning 8.1
sun 8.1
conveyance 8
day 7.9
alpine 7.8
covered 7.8
fog 7.7
residential 7.7
walk 7.6
wilderness 7.6
vehicle 7.6
vacation 7.4
historic 7.3
national 7.3

Google
created on 2023-06-22

Vehicle 90.6
Motor vehicle 89.8
Tree 88.8
Black-and-white 86.5
Mode of transport 85
Style 84.1
Sky 83
Track 80
Wheel 80
Thoroughfare 79.9
Adaptation 79.3
Rolling 79.3
People 77.6
Monochrome 77.2
Monochrome photography 77.1
Railway 75.3
Road 75
Crowd 71.4
Train 71.4
Rolling stock 70.9

Microsoft
created on 2023-06-22

tree 99.9
outdoor 99
train 91.6
way 87.4
text 85.8
person 81.5
sidewalk 81.4
vehicle 77.1
scene 76.7
land vehicle 76.3
people 75.7
clothing 69.1

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 23-31
Gender Male, 93.2%
Calm 72.4%
Surprised 21.3%
Fear 7%
Sad 3.1%
Angry 1.9%
Confused 1.8%
Happy 1.3%
Disgusted 0.8%

AWS Rekognition

Age 23-33
Gender Male, 92.4%
Confused 57.6%
Fear 15%
Surprised 8.7%
Calm 7.1%
Happy 6%
Sad 4%
Angry 3.2%
Disgusted 1.9%

AWS Rekognition

Age 16-24
Gender Male, 97.5%
Calm 61.8%
Confused 17.7%
Surprised 7.8%
Fear 7.2%
Sad 6.2%
Happy 3.9%
Disgusted 2%
Angry 0.9%

AWS Rekognition

Age 21-29
Gender Male, 89.1%
Disgusted 37.9%
Calm 27.4%
Sad 19.8%
Surprised 8.8%
Fear 6.7%
Angry 5.3%
Confused 4.5%
Happy 1.6%

AWS Rekognition

Age 19-27
Gender Male, 71.5%
Calm 37.5%
Sad 19.4%
Surprised 18.6%
Disgusted 12.7%
Fear 9.8%
Angry 5.7%
Confused 3.4%
Happy 1.2%

AWS Rekognition

Age 18-24
Gender Male, 57.6%
Calm 82.1%
Fear 8%
Surprised 6.4%
Sad 4.6%
Happy 3.6%
Confused 2.2%
Disgusted 0.7%
Angry 0.5%

AWS Rekognition

Age 29-39
Gender Male, 53.9%
Sad 100%
Calm 7.5%
Surprised 7%
Fear 6.7%
Confused 3%
Disgusted 1.9%
Angry 1.5%
Happy 0.5%

AWS Rekognition

Age 22-30
Gender Female, 69.3%
Calm 90.7%
Surprised 6.5%
Fear 5.9%
Sad 3.6%
Happy 3.5%
Disgusted 0.9%
Confused 0.3%
Angry 0.3%

AWS Rekognition

Age 10-18
Gender Female, 79%
Calm 91.8%
Fear 7.3%
Surprised 6.6%
Confused 2.5%
Sad 2.3%
Angry 0.8%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 18-26
Gender Male, 99.6%
Calm 49.6%
Sad 40.2%
Fear 9.9%
Angry 7.5%
Confused 7%
Surprised 6.6%
Happy 2.2%
Disgusted 0.8%

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 98.7%
Boy 95.7%
Child 95.7%
Male 95.7%
Bicycle 95.6%
Wheel 94%
Shoe 88.4%
Train 86.9%
Handbag 78.4%
Hat 73.3%
Helmet 57.6%

Text analysis

Amazon

DIEN
XE DIEN
XE

Google

IXIXIX YE DIEN IXIXIXIX
IXIXIX
YE
DIEN
IXIXIXIX