Human Generated Data

Title

Untitled (four photographs: beauty pageant)

Date

c. 1940, printed later

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, 4.2002.6807

Human Generated Data

Title

Untitled (four photographs: beauty pageant)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 1940, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6807

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Advertisement 99.8
Collage 99.8
Human 99.7
Person 99.7
Person 99.5
Person 99.2
Person 99.1
Person 98.3
Person 97.3
Person 95.2
Person 92.5
Person 85.8
Head 85.4
Person 82.3
Poster 81.8
Person 78.9
Outdoors 74
Apparel 71
Clothing 71
Person 66.4
Face 66.2
Nature 65
People 61.4
Brick 61.3
Electronics 60.2
Screen 60.2
Monitor 60.2
Display 60.2
Land 59.7
LCD Screen 58.1
Silhouette 58
Person 57.6
Coat 57.2
Suit 57.2
Overcoat 57.2
Person 46.5

Clarifai
created on 2019-11-16

people 99.5
collage 97.6
man 97.6
group 96.9
television 96.1
many 95.2
adult 94.8
woman 93.1
collection 92.4
monochrome 92.4
desktop 91
picture frame 90.1
movie 89.1
no person 89
wear 88.8
silhouette 87.7
bill 86.8
child 85.6
one 85.6
art 84.1

Imagga
created on 2019-11-16

billboard 86.6
signboard 69.3
structure 55
barbershop 21.8
shop 20.9
old 20.2
black 18
grunge 17.9
vintage 17.4
film 15.2
mercantile establishment 15.1
art 15
texture 13.9
dirty 13.5
window 13
antique 13
collage 12.5
frame 12.5
pattern 12.3
design 11.8
graphic 11.7
building 10.7
retro 10.6
landscape 10.4
architecture 10.2
windowsill 10.1
place of business 10.1
paint 10
decoration 9.9
scratch 9.8
text 9.6
sky 9.6
fence 9.6
grungy 9.5
light 9.4
screen 9.1
city 9.1
rough 9.1
border 9
material 8.9
negative 8.8
frames 8.8
rust 8.7
edge 8.6
dirt 8.6
damaged 8.6
glass 8.6
people 8.4
silhouette 8.3
digital 8.1
noisy 7.9
scratches 7.9
urban 7.9
barrier 7.8
photographic 7.8
noise 7.8
slide 7.8
strip 7.8
movie 7.7
travel 7.7
mask 7.7
picket fence 7.6
weathered 7.6
house 7.5
man 7.4
water 7.3
sill 7.3
computer 7.2

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

text 95.1
black and white 81.6
person 72.9
tree 63
poster 57.8
picture frame 7.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-37
Gender Male, 52.7%
Sad 45.1%
Surprised 45%
Confused 45%
Angry 45%
Calm 45.3%
Fear 45%
Happy 54.4%
Disgusted 45%

AWS Rekognition

Age 48-66
Gender Male, 50.5%
Fear 49.8%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Sad 49.9%
Confused 49.7%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 18-30
Gender Female, 54.2%
Fear 45.1%
Disgusted 45%
Surprised 45.1%
Sad 45.3%
Happy 54%
Confused 45.1%
Angry 45.2%
Calm 45.1%

AWS Rekognition

Age 3-9
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Fear 49.6%
Calm 49.6%
Sad 50.2%
Happy 49.5%

AWS Rekognition

Age 15-27
Gender Male, 50.1%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Happy 49.8%
Angry 49.7%
Confused 49.6%
Sad 49.8%

AWS Rekognition

Age 22-34
Gender Female, 50.5%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 50.5%
Sad 49.5%
Fear 49.5%

AWS Rekognition

Age 4-14
Gender Female, 50%
Calm 50.1%
Angry 49.8%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.5%
Fear 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.5%
Fear 49.6%
Calm 49.6%
Angry 49.7%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.8%
Happy 49.9%

AWS Rekognition

Age 22-34
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Sad 50%
Happy 49.6%
Angry 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.1%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 50%
Calm 49.8%
Sad 49.6%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 39-57
Gender Male, 50.1%
Sad 49.5%
Angry 49.5%
Happy 49.5%
Calm 50.5%
Fear 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 5-15
Gender Female, 50.4%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 50.4%
Sad 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50.2%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Calm 50.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Happy 49.5%

AWS Rekognition

Age 28-44
Gender Female, 50.4%
Happy 49.5%
Sad 49.6%
Confused 49.6%
Disgusted 49.5%
Angry 50.1%
Surprised 49.6%
Calm 49.6%
Fear 49.6%

AWS Rekognition

Age 19-31
Gender Male, 50.4%
Confused 49.5%
Surprised 49.5%
Sad 49.7%
Disgusted 49.5%
Calm 50.3%
Fear 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.5%
Confused 49.6%
Sad 49.9%
Happy 49.5%
Angry 49.5%
Fear 49.7%
Disgusted 49.5%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Female, 54.5%
Angry 45.3%
Happy 45.7%
Disgusted 45.3%
Fear 45.1%
Confused 45.4%
Surprised 45.2%
Calm 51.5%
Sad 46.6%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%

AWS Rekognition

Age 42-60
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%
Sad 49.5%
Fear 49.5%
Calm 49.5%
Angry 50.4%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.3%
Surprised 49.5%
Fear 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 49.5%
Calm 50.4%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.4%
Angry 49.8%
Happy 49.5%
Disgusted 49.5%
Sad 49.6%
Calm 50%
Surprised 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Sad 50.3%
Fear 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.7%
Angry 49.5%
Calm 49.8%
Surprised 49.6%
Confused 49.6%
Sad 49.6%
Fear 49.6%

AWS Rekognition

Age 39-57
Gender Male, 50.3%
Calm 50%
Disgusted 49.5%
Surprised 49.7%
Sad 49.7%
Fear 49.6%
Happy 49.5%
Angry 49.5%
Confused 49.5%

Feature analysis

Amazon

Person 99.7%
Poster 81.8%

Text analysis

Amazon

Ss LULING

Google

ss
ss LULING
LULING