Human Generated Data

Title

Pen box with scenes from Nizami's tale of Bahram Gur and the Seven Princesses

Date

1276 H (1859-60)

People

Artist: Muhammad Kazim ibn Najaf `Ali,

Classification

Artists' Tools

Human Generated Data

Title

Pen box with scenes from Nizami's tale of Bahram Gur and the Seven Princesses

People

Artist: Muhammad Kazim ibn Najaf `Ali,

Date

1276 H (1859-60)

Classification

Artists' Tools

Machine Generated Data

Tags

Amazon

Weaponry 89.8
Weapon 89.8
Cutlery 88.1
Blade 84.2
Knife 74.1
Spoon 71.1
Rug 60.1
Sport 56.8
Sports 56.8
Doodle 55.8
Drawing 55.8
Art 55.8

Clarifai

no person 98.4
desktop 94.7
art 94.3
illustration 91.4
symbol 91
retro 91
vintage 90.2
sign 89.9
design 88.6
sausage 88
food 87.8
metallic 87.4
pattern 87.3
one 86.9
closeup 86.2
paper 86
decoration 85.7
text 85
gold 84.8
color 84.1

Imagga

knife 23.7
scabbard 23.1
bangle 21.4
sheath 19.5
object 19
device 18.9
fastener 18.7
close 17.7
single 14.8
restraint 13.3
food 13.1
clip 13
nobody 12.4
diet 12.1
metal 12.1
brown 11.8
fresh 11.8
tool 11.1
snack 11.1
healthy 10.7
equipment 10.1
tasty 10
delicious 9.9
paper 9.4
horizontal 9.2
covering 9
black 9
meal 8.9
closeup 8.8
bar 8.3
dagger 8.2
one 8.2
antique 8
breakfast 8
yellow 7.9
dessert 7.9
cutter 7.9
weapon 7.8
money 7.7
nutrition 7.5
eat 7.5
box 7.5
bread 7.4
grain 7.4
backgrounds 7.3
business 7.3
wealth 7.2
chocolate 7.2
silver 7.1

Google

Microsoft

weapon 62.8
knife 30.5

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 20-38
Gender Female, 53%
Happy 45.3%
Angry 45.6%
Disgusted 52.3%
Sad 45.4%
Surprised 45.3%
Calm 45.8%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Calm 49.8%
Happy 46.8%
Confused 45.5%
Sad 45.7%
Angry 45.5%
Disgusted 45.2%
Surprised 46.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50%
Calm 49.6%

AWS Rekognition

Age 14-25
Gender Male, 50.1%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Sad 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 50.3%

AWS Rekognition

Age 20-38
Gender Male, 51.1%
Calm 45.9%
Happy 51.2%
Disgusted 45.4%
Surprised 45.5%
Angry 46.5%
Sad 45.3%
Confused 45.2%

AWS Rekognition

Age 10-15
Gender Female, 53.6%
Calm 48.9%
Happy 46.6%
Angry 45.6%
Surprised 45.6%
Sad 45.7%
Confused 45.2%
Disgusted 47.2%

AWS Rekognition

Age 15-25
Gender Female, 54.2%
Surprised 45%
Happy 45.1%
Disgusted 54.5%
Angry 45.1%
Confused 45%
Calm 45.1%
Sad 45.1%

AWS Rekognition

Age 23-38
Gender Female, 53.4%
Sad 45.3%
Happy 45.2%
Calm 45.3%
Surprised 45.2%
Disgusted 53.4%
Angry 45.4%
Confused 45.2%

AWS Rekognition

Age 11-18
Gender Female, 99.1%
Calm 1.7%
Happy 5.6%
Disgusted 6.6%
Surprised 2.4%
Angry 2.9%
Sad 74.8%
Confused 5.9%

AWS Rekognition

Age 15-25
Gender Female, 52.1%
Surprised 45.7%
Happy 47.2%
Disgusted 46.4%
Confused 45.7%
Sad 46.1%
Angry 47.1%
Calm 46.7%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Happy 46.3%
Angry 45.4%
Disgusted 49.1%
Sad 45.6%
Surprised 46.3%
Confused 45.3%
Calm 47.1%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 51.1%
Confused 45.6%
Sad 46.3%
Surprised 46.1%
Angry 45.4%
Calm 49.1%
Happy 46.2%
Disgusted 46.3%

AWS Rekognition

Age 14-25
Gender Male, 50.3%
Confused 49.5%
Calm 50%
Happy 49.5%
Disgusted 49.7%
Angry 49.6%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 10-15
Gender Female, 53.4%
Happy 45.6%
Disgusted 45.3%
Angry 45.1%
Confused 45.1%
Calm 53.5%
Surprised 45.2%
Sad 45.1%

AWS Rekognition

Age 16-27
Gender Female, 75.6%
Sad 40.8%
Surprised 6.8%
Disgusted 12.9%
Angry 6%
Calm 19.5%
Happy 9.7%
Confused 4.2%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Happy 45.8%
Surprised 45.2%
Sad 45.3%
Angry 45.3%
Disgusted 45.1%
Confused 45.3%
Calm 53%

AWS Rekognition

Age 16-27
Gender Male, 51%
Happy 47.5%
Angry 45.5%
Calm 48.9%
Confused 45.6%
Disgusted 45.8%
Sad 45.8%
Surprised 45.9%

Microsoft Cognitive Services

Age 44
Gender Female

Feature analysis

Amazon

Rug 60.1%

Captions

Microsoft

a close up of a knife 53.8%
a yellow and knife next to it 39.7%
close up of a knife 39.6%