Human Generated Data

Title

Untitled (Papeete, Tahiti)

Date

January 14, 1960-January 22, 1960

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Human Generated Data

Title

Untitled (Papeete, Tahiti)

People

Artist: Ben Shahn, American 1898 - 1969

Date

January 14, 1960-January 22, 1960

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.3
Person 99.3
Person 98.6
Person 98.2
Bicycle 97.5
Vehicle 97.5
Transportation 97.5
Bike 97.5
Bicycle 95.9
Bicycle 95.8
Person 95.5
Person 95.4
Person 95.1
Person 95.1
Person 94.4
Person 94.4
Person 92.3
Crowd 92.3
Person 91.7
Person 89.7
Person 88.1
Person 86.5
Person 86.3
Person 86.2
People 85.6
Machine 85.5
Wheel 85.5
Wheel 83.3
Person 81.5
Person 80.5
Person 79.8
Person 79.8
Person 79.8
Person 78.7
Person 77.3
Person 75.9
Person 73.3
Person 72.8
Pedestrian 72.8
Wheel 69.7
Parade 69.6
Person 66.5
Person 66.4
Nature 65.1
Person 61.7
Herd 56.7
Animal 56.7
Market 55.5
Bazaar 55.5
Shop 55.5
Funeral 55.1
Person 52.7
Person 48.3
Person 41.7

Clarifai

people 100
many 99.9
group 99.5
adult 98.6
group together 98.5
man 96.1
crowd 95.9
print 94.1
recreation 93.3
military 90.6
child 89.3
several 88.7
wear 88.6
war 87.7
woman 87.5
soldier 87.3
vehicle 85.7
administration 84.1
leader 83.5
art 81.8

Imagga

chandelier 47.9
grunge 39.2
texture 38.9
lighting fixture 37.6
old 30
fixture 28.1
surface 27.3
pattern 26
dirty 24.4
wall 23.5
rough 22.8
paint 21.7
aged 21.7
vintage 21.7
weathered 20.9
wallpaper 20.7
material 20.5
textured 20.2
detail 20.1
design 17.4
backdrop 17.3
grungy 17.1
snow 16.5
antique 16.4
art 15.7
rusty 15.2
retro 14.7
barnacle 14.7
rust 14.4
structure 14.3
brown 14
metal 13.7
winter 13.6
stain 13.5
damaged 13.4
black 13.2
cold 12.9
plant 12.7
close 12.6
decay 12.5
frame 12.5
canvas 12.3
ice 12.1
tree 11.9
crustacean 11.8
industrial 11.8
border 11.8
color 11.7
messy 11.6
aging 11.5
backgrounds 11.4
iron 11.2
floral 11.1
stone 11
worn 10.5
arthropod 10.4
ancient 10.4
paper 10.2
metallic 10.1
decoration 10.1
effect 10
steel 9.7
stained 9.6
graphic 9.5
industry 9.4
flower 9.2
element 9.1
outdoors 9
style 8.9
natural 8.7
light 8.7
artistic 8.7
water 8.7
edge 8.7
obsolete 8.6
concrete 8.6
weather 8.6
architecture 8.6
painted 8.6
grain 8.3
invertebrate 8.2
woody plant 8.2
gray 8.1
cool 8
crystal 8
scratch 7.8
cement 7.8
space 7.8
torn 7.7
glass 7.7
frost 7.7
frozen 7.6
hard 7.6
vascular plant 7.6
dark 7.5
city 7.5

Google

Microsoft

outdoor 97.1
person 89.2
black 85.8
group 75.4
posing 72.3
people 56.4
old 49.4
crowd 8.6

Face analysis

Amazon

AWS Rekognition

Age 60-90
Gender Female, 50.1%
Happy 49.6%
Confused 49.5%
Angry 49.5%
Disgusted 49.6%
Sad 50.1%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.6%
Angry 49.5%
Disgusted 50.3%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Angry 49.7%
Surprised 49.5%
Happy 49.5%
Sad 50.2%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Confused 49.5%
Sad 50.3%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.5%
Angry 49.5%
Sad 50.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Confused 49.5%
Angry 49.7%
Disgusted 49.9%
Sad 49.8%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Sad 50.1%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.9%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 49-69
Gender Female, 50.4%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.6%
Sad 50.1%
Happy 49.6%

AWS Rekognition

Age 4-9
Gender Male, 50.1%
Angry 49.7%
Happy 49.5%
Calm 49.9%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Happy 49.7%
Disgusted 49.7%
Calm 49.6%
Sad 49.6%
Confused 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Sad 49.8%
Confused 49.5%
Happy 49.9%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.7%

AWS Rekognition

Age 45-65
Gender Female, 50.2%
Disgusted 50%
Confused 49.6%
Calm 49.7%
Surprised 49.5%
Angry 49.6%
Sad 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.7%
Angry 49.7%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Angry 49.5%
Sad 50.3%
Happy 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Sad 50.4%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Happy 49.5%
Disgusted 49.7%
Confused 49.6%
Calm 49.9%
Sad 49.7%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Calm 49.6%
Surprised 49.6%
Angry 49.6%
Sad 50%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Disgusted 50.5%
Calm 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Happy 49.5%
Sad 49.5%
Angry 49.6%
Disgusted 49.8%
Surprised 49.6%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Calm 49.7%
Angry 49.6%
Happy 49.9%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Sad 49.7%
Calm 49.7%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Disgusted 49.9%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Sad 50%
Calm 49.5%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Calm 49.8%
Happy 49.5%
Disgusted 49.6%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.6%
Calm 49.9%
Surprised 49.5%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%
Sad 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 50.1%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.5%
Angry 49.6%
Sad 50.3%
Calm 49.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Sad 49.5%
Calm 50.3%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Angry 49.6%
Sad 49.8%
Calm 49.7%
Disgusted 49.5%
Happy 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Disgusted 49.5%
Sad 50%
Calm 49.8%

AWS Rekognition

Age 4-7
Gender Female, 50.5%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Sad 49.6%
Angry 49.6%
Happy 49.5%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50%
Sad 50.4%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Surprised 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.8%
Happy 49.6%
Disgusted 49.7%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 49.9%
Happy 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Angry 49.6%
Confused 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Calm 49.8%
Happy 49.7%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Calm 49.7%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Sad 50.3%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.6%
Calm 50%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.3%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.3%
Bicycle 97.5%
Wheel 85.5%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 95.6%
a vintage photo of a group of people posing for a picture 95.5%
a group of people posing for a photo 95.4%