Human Generated Data

Title

Charity, Children: Belgium. Brussels. Oeuvre des Petits Pieds Nues: Œuvre des Petits Pieds Nus, Bruxelles, Belgique

Date

c. 1900

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Charity, Children: Belgium. Brussels. Oeuvre des Petits Pieds Nues: Œuvre des Petits Pieds Nus, Bruxelles, Belgique

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Nature 99.7
Human 98.8
Person 98.8
Person 98.7
Person 98.1
Person 93.7
Person 92.5
Outdoors 91.9
Fog 90.5
Person 87.7
Person 85.2
Smoke 83.9
Person 82.5
Painting 80
Art 80
Smog 79.6
Person 77
People 76.4
Person 75.3
Weather 72.4
Person 69.4
Person 65.6
Person 61.2
Person 61
Pollution 57.1
Person 54.6
Person 45

Clarifai

people 98
vintage 97.2
antique 96.9
old 95.7
retro 95.2
wear 94.7
desktop 94.5
art 93.1
illustration 93.1
building 92.8
ancient 90.8
paper 90.2
texture 88.8
adult 88.7
sepia 88.7
man 87.9
architecture 83.5
abstract 82.2
city 81.7
many 81.5

Imagga

grunge 53.7
old 53
vintage 50.6
texture 48
aged 43.5
antique 42.8
wall 34.9
paper 33.9
retro 31.2
wallpaper 29.9
grungy 27.5
material 26.8
rough 26.4
dirty 25.3
brown 25
graffito 25
decoration 24.7
aging 24
canvas 23.7
ancient 23.4
decay 23.2
damaged 22.9
empty 22.4
art 21.8
pattern 21.2
backgrounds 21.1
structure 21
frame 20.8
textured 19.3
stain 19.2
rusty 19.1
weathered 19
tile 18.9
grime 18.6
text 18.3
graphic 17.5
design 17.5
parchment 17.3
paint 17.2
space 17.1
grain 16.6
border 16.3
worn 16.2
sheet 14.1
artistic 13.9
letter 13.8
distressed 13.8
detailed 13.5
stained 13.5
cardboard 13.5
obsolete 13.4
decorative 13.4
textures 13.3
surface 13.2
document 13
detail 12.9
blank 12.9
mottled 12.7
fracture 12.7
crack 12.6
rust 12.5
edge 12.5
flower 12.3
burnt 11.7
backdrop 11.6
dirt 11.5
old fashioned 11.4
stucco 11.1
architecture 11.1
pages 10.8
crumpled 10.7
messy 10.6
style 10.4
floral 10.2
leaf 10.1
film 10.1
effect 10
smudged 9.9
scratch 9.8
torn 9.7
color 9.5
page 9.3
cover 9.3
painterly 8.9
building 8.6
silhouette 8.3
historic 8.3
negative 8.2
freight car 8.1
metal 8.1
noise 7.8
ragged 7.8
stains 7.8
sepia 7.8
rustic 7.7
iron 7.5
plants 7.4
map 7.3
ornate 7.3
industrial 7.3
steel 7.1
shower curtain 7

Google

Art 50.2

Microsoft

person 92.1
old 91.8
clothing 81.4

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Disgusted 45.8%
Surprised 45.9%
Sad 47.8%
Confused 47.7%
Calm 46.1%
Happy 45.3%
Angry 46.4%

AWS Rekognition

Age 14-25
Gender Female, 54.2%
Disgusted 45.2%
Angry 45.3%
Surprised 45.2%
Sad 52.9%
Calm 45.8%
Confused 45.2%
Happy 45.5%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Angry 45.2%
Surprised 45.1%
Sad 53.8%
Disgusted 45.2%
Confused 45.2%
Happy 45.1%
Calm 45.3%

AWS Rekognition

Age 15-25
Gender Male, 51.2%
Disgusted 46.4%
Confused 46.6%
Happy 47.9%
Calm 45.4%
Surprised 46.5%
Angry 45.6%
Sad 46.7%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Confused 47.7%
Sad 49.7%
Disgusted 45.3%
Calm 45.3%
Happy 45.1%
Surprised 46%
Angry 45.9%

AWS Rekognition

Age 35-52
Gender Female, 53.2%
Sad 48.7%
Disgusted 47.2%
Confused 45.5%
Happy 45.6%
Angry 46.1%
Surprised 45.4%
Calm 46.4%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Confused 46.9%
Sad 47.7%
Happy 45.2%
Disgusted 45.9%
Surprised 45.8%
Angry 45.4%
Calm 48.2%

AWS Rekognition

Age 20-38
Gender Female, 54.1%
Calm 46.8%
Happy 45.1%
Disgusted 45.5%
Surprised 46.4%
Angry 45.9%
Sad 47%
Confused 48.2%

AWS Rekognition

Age 20-38
Gender Female, 54.1%
Confused 45.6%
Disgusted 46.4%
Surprised 45.4%
Sad 50.4%
Happy 45.6%
Angry 45.5%
Calm 46%

AWS Rekognition

Age 15-25
Gender Female, 53.3%
Angry 46.5%
Happy 45.6%
Confused 45.4%
Disgusted 46.9%
Sad 48.5%
Surprised 45.6%
Calm 46.5%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Angry 45.6%
Confused 46.4%
Disgusted 45.7%
Surprised 47.1%
Calm 48.2%
Sad 46.7%
Happy 45.3%

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Surprised 46.8%
Confused 46.6%
Disgusted 45.6%
Angry 45.6%
Calm 46.1%
Happy 47.8%
Sad 46.4%

AWS Rekognition

Age 35-52
Gender Female, 54.8%
Confused 47.2%
Disgusted 45.2%
Surprised 46.6%
Sad 47.9%
Happy 45.1%
Angry 46.4%
Calm 46.5%

AWS Rekognition

Age 12-22
Gender Female, 53.2%
Angry 46.3%
Surprised 45.7%
Sad 48%
Confused 45.7%
Happy 46.9%
Calm 46.2%
Disgusted 46.3%

AWS Rekognition

Age 14-25
Gender Female, 51.6%
Angry 45.3%
Confused 45.2%
Disgusted 45.1%
Surprised 45.1%
Calm 45.4%
Sad 53.6%
Happy 45.2%

AWS Rekognition

Age 16-27
Gender Female, 54.9%
Disgusted 45.2%
Angry 45.6%
Sad 46.6%
Happy 45.1%
Calm 49.5%
Surprised 46.2%
Confused 46.7%

AWS Rekognition

Age 26-43
Gender Female, 55%
Angry 45.9%
Happy 45.6%
Disgusted 45.5%
Sad 46%
Confused 46.9%
Surprised 46.6%
Calm 48.6%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Surprised 45.8%
Confused 45.9%
Disgusted 45.3%
Angry 46.4%
Calm 50.5%
Happy 45.3%
Sad 45.7%

AWS Rekognition

Age 26-43
Gender Female, 50.8%
Sad 46.2%
Calm 49.1%
Angry 45.3%
Happy 45.1%
Disgusted 45.2%
Confused 47.9%
Surprised 46.3%

AWS Rekognition

Age 11-18
Gender Female, 54.3%
Calm 45.1%
Angry 45.4%
Disgusted 45.6%
Happy 48.4%
Confused 45.3%
Sad 49.6%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Surprised 45.7%
Disgusted 45.8%
Angry 45.6%
Confused 45.5%
Calm 47.6%
Happy 47.9%
Sad 46.9%

AWS Rekognition

Age 12-22
Gender Female, 54.4%
Confused 45.7%
Disgusted 45.5%
Surprised 45.7%
Sad 49.1%
Happy 46.3%
Angry 45.4%
Calm 47.3%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Sad 46.2%
Angry 45.2%
Happy 45.2%
Disgusted 45.1%
Calm 52.3%
Surprised 45.5%
Confused 45.5%

AWS Rekognition

Age 15-25
Gender Female, 54.7%
Happy 45.2%
Sad 49.3%
Surprised 46.4%
Angry 45.3%
Calm 46.8%
Disgusted 45.3%
Confused 46.6%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Confused 47.6%
Sad 46.4%
Happy 45.2%
Disgusted 45.3%
Surprised 46%
Angry 47.3%
Calm 47.2%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Happy 45.6%
Disgusted 45.2%
Sad 52%
Angry 45.6%
Confused 45.4%
Calm 45.4%
Surprised 45.7%

AWS Rekognition

Age 26-43
Gender Female, 55%
Confused 47.8%
Disgusted 45.5%
Calm 47%
Angry 45.4%
Happy 45.5%
Sad 46.9%
Surprised 46.9%

AWS Rekognition

Age 20-38
Gender Female, 55%
Surprised 46.7%
Disgusted 45.6%
Sad 46.4%
Angry 47%
Calm 46.5%
Happy 45.1%
Confused 47.7%

AWS Rekognition

Age 35-52
Gender Female, 54.9%
Calm 47.6%
Angry 46.1%
Disgusted 45.2%
Happy 45.4%
Confused 47.9%
Sad 46.4%
Surprised 46.4%

AWS Rekognition

Age 23-38
Gender Female, 54.9%
Disgusted 45.4%
Surprised 46.7%
Confused 46.5%
Calm 47.2%
Angry 45.5%
Happy 46.4%
Sad 47.3%

AWS Rekognition

Age 35-52
Gender Female, 53.5%
Confused 45.4%
Sad 51%
Angry 46%
Disgusted 45.9%
Happy 45.5%
Surprised 45.5%
Calm 45.7%

AWS Rekognition

Age 15-25
Gender Female, 53.1%
Sad 45.9%
Disgusted 45.4%
Happy 45.6%
Calm 50%
Surprised 46.4%
Confused 46.4%
Angry 45.3%

AWS Rekognition

Age 23-38
Gender Female, 53.5%
Calm 46.5%
Happy 46.2%
Surprised 45.6%
Disgusted 47.4%
Sad 47.1%
Angry 46.4%
Confused 45.7%

AWS Rekognition

Age 30-47
Gender Female, 53.4%
Surprised 45.1%
Happy 45.1%
Sad 53.9%
Confused 45.2%
Disgusted 45.3%
Angry 45.2%
Calm 45.1%

AWS Rekognition

Age 4-9
Gender Female, 53.4%
Happy 45.2%
Angry 45.4%
Surprised 45.4%
Disgusted 45.4%
Confused 45.3%
Calm 47%
Sad 51.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 46%
Angry 45.1%
Calm 51.8%
Surprised 45.5%
Disgusted 45.1%
Happy 45.1%
Confused 46.4%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 45.7%
Sad 52.2%
Happy 45.7%
Surprised 45.4%
Disgusted 45.2%
Confused 45.4%
Calm 45.6%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Surprised 49.6%
Sad 49.7%
Disgusted 49.6%
Calm 49.9%
Happy 49.6%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 51.9%
Confused 46.1%
Sad 46.3%
Angry 52%
Disgusted 45.1%
Happy 45%
Surprised 45.2%
Calm 45.3%

AWS Rekognition

Age 16-27
Gender Female, 53.8%
Sad 47.6%
Calm 46.7%
Disgusted 45.2%
Confused 48.2%
Surprised 46.1%
Happy 45.1%
Angry 46.1%

AWS Rekognition

Age 15-25
Gender Female, 53.5%
Sad 45.6%
Confused 45.5%
Calm 46.8%
Angry 46.3%
Disgusted 46.9%
Happy 48.2%
Surprised 45.7%

Microsoft Cognitive Services

Age 21
Gender Female

Feature analysis

Amazon

Person 98.8%
Painting 80%

Captions

Microsoft

a vintage photo of a person 68.6%
a vintage photo of some people 66.6%
an old photo of a person 66.5%

Text analysis

Amazon

pP

Google

PP
PP