Human Generated Data

Title

Untitled (man standing behind calf with award at 4 H Club calf show)
Date

1946
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, 4.2002.2992

Human Generated Data

Title

Untitled (man standing behind calf with award at 4 H Club calf show)

People

Artist: Harry Annas, American 1897 - 1980

Date

1946

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2992

Machine Generated Data

Tags

Amazon
created on 2022-03-19

Cow 100
Cattle 100
Mammal 100
Animal 100
Person 99.7
Human 99.7
Person 99.3
Person 99.3
Person 99.2
Person 99
Person 97.9
Bull 95.5
Person 94.3
Person 93.6
Person 85.2
Clothing 78.7
Apparel 78.7
Person 76.5
Person 66.9
Dairy Cow 59
Person 57
Spoke 56.8
Machine 56.8

Clarifai
created on 2025-01-10

people 99.9
mammal 99.4
cattle 99.4
livestock 98.1
cow 97.9
bull 97.2
cavalry 96.2
calf 95.5
adult 95.3
one 95.1
man 94.1
two 94
wear 91.9
seated 91.8
cowman 91.2
monochrome 90
farm 88.6
lid 88.2
horn 87.1
child 86.7

Imagga
created on 2022-03-19

cow 100
cattle 100
farm 67.9
bovine 58.8
livestock 57.5
bull 54.4
dairy 49.2
calf 47
pasture 45.1
rural 44.1
ranch 43.2
beef 42.7
grass 39.6
meadow 37.8
field 37.7
ox 37
cows 34.6
milk 34.4
agriculture 34.3
animals 30.6
farming 28.5
countryside 28.4
herd 24.6
grazing 23.6
brown 21.4
country 21.1
graze 19.7
young mammal 19.5
black 19.3
landscape 17.1
mammals 15.6
outdoor 15.3
horse 15.2
young 14.6
meat 14.4
placental 13.9
head 12.6
village 12.5
outdoors 12
agricultural 11.7
fence 11.6
sky 11.5
outside 11.1
hay 10.8
horses 10.7
farmland 10.7
nose 10.5
standing 10.5
cheese 10.3
summer 10.3
domestic 10
heifer 9.9
chew 9.9
flock 9.9
trees 9.8
curious 9.7
stock 9.4
scenery 9
ruminate 8.9
barn 8.9
horn 8.8
vertebrate 8.8
dutch 8.8
fields 8.7
eating 8.4
friendly 8.3
natural 8
bulls 7.9
corral 7.9
cute 7.9
ruminant 7.8
tree 7.7
land 7.4
group 7.3
looking 7.2
face 7.1
equine 7

Google
created on 2022-03-19

Vertebrate 92
Working animal 89.1
Mammal 85.8
Organism 85.2
Hat 83.7
Black-and-white 82.9
Livestock 75.2
Terrestrial animal 74.9
Bull 74.7
Monochrome photography 73.3
Event 72.2
Monochrome 70.7
Landscape 68.8
Bovine 67.7
Pack animal 67.2
Animal sports 65.9
Tradition 64.4
Entertainment 63.3
Horn 60.6
Ox 59.3

Microsoft
created on 2022-03-19

cow 98.5
outdoor 94.7
cattle 94.2
animal 88.7
bull 88.6
standing 88.3
mammal 78.5
black and white 76.7
working animal 71
white 68.8
horse 58.5
mule 53.2
bovine 49.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 12-20
Gender Female, 62.9%
Surprised 37.2%
Sad 17.1%
Calm 13.5%
Disgusted 10.2%
Confused 9.7%
Angry 6.6%
Fear 3.9%
Happy 1.8%

AWS Rekognition

Age 2-8
Gender Female, 95.7%
Calm 94.6%
Surprised 2%
Sad 1.2%
Disgusted 0.8%
Fear 0.6%
Angry 0.5%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Calm 96.2%
Confused 1.8%
Sad 1.3%
Angry 0.3%
Disgusted 0.1%
Fear 0.1%
Happy 0.1%
Surprised 0.1%

AWS Rekognition

Age 30-40
Gender Male, 98.6%
Sad 59.7%
Angry 14.1%
Calm 13.3%
Disgusted 6.5%
Confused 4.8%
Fear 0.6%
Surprised 0.6%
Happy 0.4%

AWS Rekognition

Age 18-24
Gender Female, 79%
Disgusted 62.6%
Fear 12.8%
Happy 8.4%
Sad 7.7%
Surprised 3.4%
Angry 3.3%
Confused 1.2%
Calm 0.6%

AWS Rekognition

Age 20-28
Gender Male, 99.7%
Calm 95.2%
Happy 1.6%
Sad 1.3%
Angry 0.7%
Surprised 0.6%
Disgusted 0.3%
Confused 0.2%
Fear 0.2%

AWS Rekognition

Age 39-47
Gender Male, 100%
Happy 98.2%
Calm 0.8%
Disgusted 0.5%
Surprised 0.1%
Sad 0.1%
Angry 0.1%
Confused 0.1%
Fear 0.1%

AWS Rekognition

Age 16-22
Gender Female, 99.9%
Sad 38.8%
Disgusted 22.2%
Calm 21.3%
Happy 11.4%
Fear 2.9%
Confused 2%
Surprised 0.8%
Angry 0.6%

AWS Rekognition

Age 22-30
Gender Female, 91.9%
Happy 61.4%
Disgusted 12.2%
Fear 7.5%
Surprised 5.8%
Angry 4.3%
Sad 4.1%
Calm 2.8%
Confused 1.9%

AWS Rekognition

Age 25-35
Gender Female, 95.4%
Calm 41.4%
Disgusted 38.8%
Sad 6.9%
Angry 4.4%
Surprised 2.5%
Confused 2.4%
Happy 1.9%
Fear 1.6%

AWS Rekognition

Age 19-27
Gender Male, 79%
Calm 75.8%
Happy 15.2%
Surprised 6.1%
Angry 1.2%
Sad 0.5%
Fear 0.5%
Disgusted 0.5%
Confused 0.2%

AWS Rekognition

Age 27-37
Gender Male, 96.7%
Happy 68%
Calm 18%
Surprised 4.9%
Angry 4%
Disgusted 2.1%
Confused 1.5%
Fear 1%
Sad 0.6%

AWS Rekognition

Age 24-34
Gender Male, 100%
Disgusted 92.4%
Calm 4%
Sad 1.2%
Angry 0.7%
Surprised 0.5%
Confused 0.5%
Happy 0.5%
Fear 0.2%

AWS Rekognition

Age 22-30
Gender Female, 99.1%
Calm 66.2%
Confused 14.2%
Disgusted 5.2%
Surprised 4.5%
Sad 4.5%
Happy 2.7%
Angry 1.8%
Fear 1%

AWS Rekognition

Age 18-26
Gender Male, 93.1%
Fear 48.1%
Sad 21.1%
Disgusted 15%
Happy 3.9%
Calm 3.8%
Surprised 2.9%
Confused 2.8%
Angry 2.4%

AWS Rekognition

Age 24-34
Gender Male, 98.5%
Calm 91%
Happy 4.1%
Surprised 1.5%
Sad 1.3%
Angry 1%
Disgusted 0.6%
Confused 0.3%
Fear 0.3%

AWS Rekognition

Age 20-28
Gender Female, 95.8%
Fear 55.8%
Calm 29.5%
Sad 5.5%
Surprised 3.9%
Confused 2.1%
Happy 1.5%
Angry 0.9%
Disgusted 0.8%

AWS Rekognition

Age 23-33
Gender Male, 99.4%
Calm 89%
Sad 6%
Angry 1.3%
Surprised 1.2%
Confused 1%
Happy 0.8%
Disgusted 0.5%
Fear 0.4%

AWS Rekognition

Age 12-20
Gender Female, 51.4%
Calm 50.5%
Sad 29.9%
Disgusted 9%
Confused 3.9%
Fear 2.7%
Angry 1.7%
Happy 1.3%
Surprised 1.1%

Microsoft Cognitive Services

Age 23
Gender Male

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy 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 Very 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 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 Very likely

Google Vision

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

Feature analysis

Amazon

Cow
Person
Cow 100%
Person 99.7%
Person 99.3%
Person 99.3%
Person 99.2%
Person 99%
Person 97.9%
Person 94.3%
Person 93.6%
Person 85.2%
Person 76.5%
Person 66.9%
Person 57%

Categories

Imagga

pets animals 72.4%
nature landscape 27.4%

Text analysis

Amazon

KODAKŲ¬EE

Google

KODVK- E
KODVK-
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