Human Generated Data

Title

Quick to learn his new job, Private First Class Richard W. Ashton observes some of the ducks which he purchased and distributed to the villagers to get them started. He passed out 1100 ducklings with the condition that they would return half the price of the ducks when they sold the ducks, allowing him to repeat the procedure. (U.S. Army Photo)

Date

July 1967

People

Artist: Gordon W. Gahan, American 1945 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.107

Human Generated Data

Title

Quick to learn his new job, Private First Class Richard W. Ashton observes some of the ducks which he purchased and distributed to the villagers to get them started. He passed out 1100 ducklings with the condition that they would return half the price of the ducks when they sold the ducks, allowing him to repeat the procedure. (U.S. Army Photo)

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

July 1967

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.107

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Human 99.8
Person 99.8
Person 99.6
Person 99.6
Person 98.9
Person 98.7
Person 98.3
Accessories 96.8
Accessory 96.8
Sunglasses 96.8
Outdoors 93.4
Person 93.4
Person 93.3
Nature 92.4
Person 92.4
Apparel 80.9
Clothing 80.9
Snow 65.4
Man 61.7
Sitting 60
Face 59.8
Photography 59.5
Photo 59.5
Piste 55.7
Sports 55.7
Sport 55.7
Goggles 55.1

Clarifai
created on 2019-03-22

people 99.6
group together 98.6
group 96.5
adult 96.4
man 96.4
snow 94.6
winter 92.7
woman 88.9
vehicle 88.7
four 88
war 87.5
wear 87
recreation 85.9
two 85
several 84.9
many 84.8
child 82.8
street 81.8
military 81
soldier 80.6

Imagga
created on 2019-03-22

man 36.3
snow 31
people 27.4
active 27.1
beach 26.7
outdoor 23.7
ballplayer 23.7
sport 23.2
slope 22.9
male 22.8
mountain 22.5
athlete 22.1
winter 22.1
player 21.8
vacation 21.3
person 20.9
sky 20.5
travel 20.4
outdoors 20.2
walking 19.9
sand 19
leisure 18.3
lifestyle 16.6
silhouette 16.6
cold 16.4
sunset 16.2
sea 15.6
ocean 15.5
contestant 15.3
ski slope 14.9
adult 14.4
activity 14.3
landscape 14.1
sun 13.7
ski 13.7
fun 13.5
hiking 13.5
mountains 13
youth 12.8
skier 12.7
tourist 11.9
recreation 11.7
walk 11.4
boy 11.3
outside 11.1
summer 10.9
season 10.9
holiday 10.8
climbing 10.7
water 10.7
adventure 10.4
high 10.4
play 10.3
men 10.3
clouds 10.2
weather 9.7
equipment 9.6
geological formation 9.5
happy 9.4
sports 9.3
guy 9.2
trekking 8.8
couple 8.7
extreme 8.6
relax 8.4
relaxation 8.4
shore 8.4
action 8.4
family 8
clothing 7.9
mountaineering 7.9
happiness 7.8
black 7.8
climb 7.8
hike 7.8
sunny 7.8
run 7.7
hill 7.5
life 7.4
teen 7.4
child 7.3
women 7.1

Google
created on 2019-03-22

Microsoft
created on 2019-03-22

outdoor 98.7
person 95.8
white 65.2
old 57.9
snow 29.1
black and white 14.4
winter 10.7
mountain 8.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-47
Gender Male, 86.2%
Calm 80.9%
Confused 6%
Angry 2.4%
Sad 3.3%
Surprised 5.7%
Disgusted 0.5%
Happy 1.2%

AWS Rekognition

Age 26-43
Gender Female, 53%
Happy 45.3%
Calm 49%
Confused 45.3%
Disgusted 45.7%
Sad 46.5%
Surprised 45.3%
Angry 47.9%

AWS Rekognition

Age 20-38
Gender Male, 54.8%
Sad 51.2%
Disgusted 45.3%
Surprised 45.3%
Angry 45.4%
Calm 46.4%
Happy 46%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Sad 50.3%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Calm 49.7%
Disgusted 49.7%
Surprised 49.6%
Sad 49.8%
Angry 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Confused 49.6%
Calm 49.8%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Happy 49.7%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Disgusted 49.8%
Calm 49.7%
Angry 49.7%
Sad 49.7%
Happy 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Disgusted 50%
Surprised 49.6%
Angry 49.6%
Sad 49.6%
Calm 49.7%
Confused 49.5%
Happy 49.6%

Feature analysis

Amazon

Person 99.8%
Sunglasses 96.8%

Categories