Human Generated Data

Title

Crime, Identification: France: Class in Portrait Study.

Date

c. 1905

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.321

Human Generated Data

Title

Crime, Identification: France: Class in Portrait Study.

People

Artist: Unidentified Artist,

Date

c. 1905

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.321

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Chair 99.7
Furniture 99.7
Classroom 99.2
School 99.2
Room 99.2
Indoors 99.2
Chair 97.7
Chair 97.2
Person 97.1
Human 97.1
Chair 94.8
Chair 93.1
Person 89.5
Person 86.7
Person 85.9
Person 82.5
Person 78.6
Person 75.5
Chair 74.4
Person 69.6
Interior Design 67.1
Chair 64.4
Restaurant 62.4
Chair 56.3
Chair 50.9

Imagga
created on 2022-06-04

classroom 100
room 95.9
chair 33.7
restaurant 27.8
hall 27.1
table 25.9
interior 24.7
building 23.4
empty 19.7
seat 19.4
center 17.9
furniture 17.6
architecture 17.2
modern 16.8
city 16.6
cafeteria 16.4
tables 14.8
indoors 14.1
chairs 13.7
dinner 13.5
culture 12.8
travel 12.7
glass 12.4
urban 12.2
row 12.1
old 11.8
floor 11.2
lunch 11.1
wall 11.1
eat 10.9
house 10.9
wood 10.8
structure 10.6
dining 10.5
window 10.1
tourism 9.9
hotel 9.5
party 9.5
place 9.3
street 9.2
vacation 9
decor 8.8
light 8.7
nobody 8.5
business 8.5
food 8.5
design 8.4
people 8.4
drink 8.3
water 8
night 8
life 7.8
wine 7.4
inside 7.4

Google
created on 2022-06-04

Furniture 93.5
Chair 89.8
Window 80.6
Suit 74.8
Monochrome 72
Font 70.4
Event 70.2
Vintage clothing 67.5
History 67.3
Uniform 66.5
Room 64.6
Monochrome photography 63.4
Stock photography 63.3
Art 61.5
Class 61.1
Building 56.7
Job 56.7
Crowd 54.1
Collection 53.1
Academic institution 51.6

Microsoft
created on 2022-06-04

text 97.4
chair 93.4
furniture 93.3
person 88.9
table 87
clothing 80.1
group 62.6
several 15

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 42-50
Gender Male, 93.2%
Sad 85.4%
Confused 27.1%
Calm 11.9%
Disgusted 11.4%
Surprised 8.8%
Fear 7.2%
Happy 1.6%
Angry 1.4%

AWS Rekognition

Age 27-37
Gender Male, 99.8%
Calm 96.2%
Surprised 6.3%
Fear 5.9%
Confused 3.2%
Sad 2.2%
Disgusted 0.1%
Happy 0.1%
Angry 0.1%

AWS Rekognition

Age 24-34
Gender Male, 97.7%
Calm 47.3%
Angry 24.5%
Disgusted 17%
Surprised 8%
Fear 7.1%
Sad 3.2%
Confused 1.6%
Happy 0.7%

AWS Rekognition

Age 36-44
Gender Male, 99.9%
Sad 97.3%
Angry 19.8%
Disgusted 16%
Calm 8.3%
Surprised 6.7%
Fear 6.3%
Confused 1.5%
Happy 0.7%

AWS Rekognition

Age 18-26
Gender Male, 95.6%
Calm 72%
Fear 10.8%
Sad 7.6%
Surprised 6.9%
Confused 3.4%
Happy 1.7%
Disgusted 1.5%
Angry 1.1%

AWS Rekognition

Age 18-24
Gender Female, 53.5%
Calm 79%
Happy 7.3%
Surprised 7.2%
Fear 6.7%
Sad 3.6%
Disgusted 2.6%
Confused 2.5%
Angry 1%

AWS Rekognition

Age 23-33
Gender Female, 89.3%
Sad 63.7%
Calm 37.3%
Angry 13.1%
Fear 9.4%
Surprised 8.2%
Happy 3.9%
Disgusted 2.1%
Confused 1.9%

AWS Rekognition

Age 10-18
Gender Male, 99.8%
Sad 31.5%
Happy 27.1%
Calm 22.9%
Fear 16.4%
Surprised 7.5%
Confused 5.3%
Disgusted 2.2%
Angry 1.8%

AWS Rekognition

Age 41-49
Gender Male, 99%
Calm 93.1%
Surprised 6.6%
Fear 6.2%
Sad 2.7%
Disgusted 2.3%
Happy 1%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 23-31
Gender Male, 97.9%
Sad 70.6%
Calm 55%
Fear 7.5%
Surprised 6.7%
Angry 2.3%
Confused 2.2%
Happy 1.6%
Disgusted 1.4%

AWS Rekognition

Age 18-26
Gender Male, 99.2%
Calm 88.8%
Happy 7.9%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Disgusted 1.2%
Confused 1.1%
Angry 0.4%

AWS Rekognition

Age 20-28
Gender Male, 86.8%
Sad 92.3%
Calm 38.4%
Surprised 7%
Fear 6.8%
Happy 4.6%
Confused 4.1%
Disgusted 2.7%
Angry 2.3%

AWS Rekognition

Age 9-17
Gender Female, 93.3%
Sad 96.6%
Calm 44%
Fear 6.7%
Surprised 6.5%
Disgusted 1.9%
Angry 0.5%
Happy 0.5%
Confused 0.3%

AWS Rekognition

Age 11-19
Gender Female, 97.1%
Calm 66%
Sad 29.5%
Fear 8.1%
Surprised 7.1%
Angry 2.2%
Confused 2%
Disgusted 1.4%
Happy 0.9%

AWS Rekognition

Age 11-19
Gender Male, 53.1%
Calm 82.8%
Surprised 6.6%
Fear 6.5%
Happy 5.9%
Sad 5.4%
Disgusted 0.9%
Confused 0.8%
Angry 0.4%

AWS Rekognition

Age 22-30
Gender Male, 97.7%
Fear 41.4%
Sad 36%
Calm 32.9%
Surprised 6.6%
Disgusted 3.5%
Angry 1.8%
Happy 1.7%
Confused 0.6%

AWS Rekognition

Age 21-29
Gender Male, 92.6%
Calm 93.5%
Surprised 7%
Fear 6.7%
Sad 2.3%
Disgusted 1.3%
Angry 0.5%
Happy 0.4%
Confused 0.2%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Possible

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Chair 99.7%
Person 97.1%

Categories

Text analysis

Amazon

LES
The
Cam.
Cam. The Bauged
USD LES URISENTIES
USD
Bauged
11
URISENTIES
Condication

Google

23 Gl C Cat 333 wila Inditha hallu mil Lab 163 fifi w con !!! FARE 046
23
Gl
C
Cat
333
wila
Inditha
hallu
mil
Lab
163
fifi
w
con
!!!
FARE
046