Human Generated Data

Title

Set of Needle-box Prints

Date

19th century

People

Artist: Joseph Martin Kronheim, German 1810 - 1896

Previous attribution: George Baxter, British 1804 - 1867

Classification

Prints

Human Generated Data

Title

Set of Needle-box Prints

People

Artist: Joseph Martin Kronheim, German 1810 - 1896

Previous attribution: George Baxter, British 1804 - 1867

Date

19th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 98.6
Person 98.6
Art 97.5
Painting 97.5
Person 94.7
Person 94.5
Person 91.9
Person 88.2
Person 75.6
Person 73.6
Person 71.4
Person 68.8
Person 68.4
Person 60.7
Person 60.4
Person 59.5

Clarifai

illustration 99.6
collection 98.4
art 96.8
desktop 96.7
people 94.5
print 94.3
design 93.5
decoration 93
pattern 92.7
vintage 92.4
group 92.1
set 91.7
flower 91.7
no person 90.1
painting 89.4
paper 88.6
vertical 88.4
texture 88.1
color 88
adult 86.7

Imagga

money 37.4
cash 35.7
currency 34.1
paper 32.1
finance 29.6
bank 28.7
cotton 26.5
banking 25.7
refrigerator 25.3
wealth 24.2
banknote 22.3
financial 22.3
business 20.6
white goods 20.3
note 19.3
container 19.2
tray 18.7
banknotes 18.6
exchange 18.1
bill 18.1
economy 17.6
notes 17.2
pattern 17.1
savings 16.8
retro 16.4
art 16.3
pay 16.3
collection 16.2
texture 16
design 15.8
payment 15.4
home appliance 15.3
receptacle 15.1
bills 14.6
hundred 14.5
floral 14.5
rich 14
investment 13.7
symbol 13.5
case 13.1
wallpaper 13
pillow 12.7
graphic 12.4
old 11.8
twenty 11.8
flower 11.5
seamless 11.4
unique 11.4
fifty 10.8
vintage 10.8
colorful 10.7
plant 10.4
cushion 10.3
commerce 10.3
appliance 10.1
backdrop 9.9
ten 9.8
market 9.8
surface 9.7
success 9.6
change 9.6
loan 9.6
profit 9.6
decoration 9.5
color 9.5
many 9.2
frame 9.2
element 9.1
flowers 8.7
debt 8.7
coin 8.6
save 8.5
stock 8.4
dollar 8.4
sale 8.3
grain 8.3
sign 8.3
rough 8.2
world 8
colors 7.9
pounds 7.9
spending 7.8
rate 7.8
padding 7.8
value 7.8
pound 7.7
visual 7.7
credit 7.7
trade 7.6
stamp 7.5
shape 7.5
plants 7.4
stack 7.4
shopping 7.3
global 7.3
envelope 7.2
antique 7.1
modern 7

Google

Microsoft

cartoon 96.5
text 82.8
furniture 80.8
christmas tree 70.4
book 59.5

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.7%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Confused 49.7%
Disgusted 49.6%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Calm 50%
Confused 49.5%
Surprised 49.6%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Surprised 49.6%
Sad 50.2%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.6%
Happy 49.7%
Confused 49.6%
Disgusted 49.8%
Calm 49.6%
Angry 49.7%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.7%
Happy 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 49.8%
Angry 49.7%
Surprised 49.7%

Feature analysis

Amazon

Person 98.6%
Painting 97.5%

Captions

Microsoft

a close up of furniture 27.6%

Text analysis

Google

A
A