Human Generated Data

Title

Untitled (fourteen photographs clockwise from upper left, Hon. C. Carrington; Albert Edward (w/dog in center); Capt. Lane Fox; Lady Royston; Maj. Teesdale; Mr. Holtzman; Marchioness of Carmarthen; Lt. Col. Keppel; Hon. Mrs. E. Coke; verso, Viscount Newry seated on terrace with view of grounds in the background)
Date

1862-1888
People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.68

Human Generated Data

Title

Untitled (fourteen photographs clockwise from upper left, Hon. C. Carrington; Albert Edward (w/dog in center); Capt. Lane Fox; Lady Royston; Maj. Teesdale; Mr. Holtzman; Marchioness of Carmarthen; Lt. Col. Keppel; Hon. Mrs. E. Coke; verso, Viscount Newry seated on terrace with view of grounds in the background)

People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903

Date

1862-1888

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.68

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Human 99.4
Person 99.4
Advertisement 99.1
Collage 99.1
Person 98.7
Person 98.2
Person 97.6
Furniture 97.1
Person 96.8
Person 82.9
Closet 78.2
Cupboard 78.2
Art 74.1
Person 72.3
Person 72.1
Wood 70.7
Drawing 62.8
Flooring 59.6
Poster 59.5

Clarifai
created on 2018-04-19

people 99.9
print 98.9
adult 98.9
group 98.4
illustration 97.4
man 96.5
one 94.5
furniture 93.2
art 92.4
chair 89.7
lithograph 88.7
many 87.6
indoors 87.2
room 87
administration 86.5
woman 86.3
leader 85.7
wear 84
two 82.6
painting 81.6

Imagga
created on 2018-04-19

old 24.4
case 20.8
currency 19.7
vintage 18.4
cash 18.3
money 17.8
bookmark 17.7
paper 17.2
ancient 15.6
art 15.2
architecture 14.8
retro 14.7
window 14.3
building 13.9
antique 13.8
shelf 13.7
finance 13.5
religion 13.4
bank 13.4
dollar 13
bill 12.3
banking 11.9
business 11.5
exchange 11.4
religious 11.2
design 10.3
culture 10.2
shop 10.2
furniture 9.8
texture 9.7
payment 9.6
wall 9.4
decoration 9.3
house 9.2
frame 9.1
travel 9.1
tourism 9.1
landmark 9
wealth 9
financial 8.9
pattern 8.9
banknotes 8.8
bills 8.7
glass 8.4
stamp 8.4
church 8.3
note 8.3
historic 8.2
letter 8.2
container 8.2
symbol 8.1
market 8
twenty 7.9
card 7.8
envelope 7.7
pay 7.7
notes 7.7
loan 7.7
temple 7.6
city 7.5
rich 7.4
famous 7.4
page 7.4
book 7.4
brown 7.4
door 7.3
aged 7.2
history 7.1

Google
created on 2018-04-19

black and white 66
vintage clothing 61.5
collection 60.5
history 52.8

Microsoft
created on 2018-04-19

different 82.3
various 61.6
gallery 53.9
bunch 45.4
several 19

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 30-47
Gender Male, 54.8%
Happy 45%
Surprised 45.1%
Sad 45.1%
Angry 45.2%
Calm 54.3%
Disgusted 45%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Angry 46.6%
Surprised 45.1%
Calm 51.4%
Sad 46.4%
Happy 45%
Disgusted 45.1%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Calm 53.2%
Confused 45.3%
Disgusted 45%
Sad 46%
Happy 45%
Surprised 45.1%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Calm 52.5%
Angry 45.2%
Confused 45.5%
Sad 46.5%
Disgusted 45%
Surprised 45.1%
Happy 45.1%

AWS Rekognition

Age 35-53
Gender Male, 54.3%
Sad 47.7%
Surprised 45.1%
Confused 45.2%
Disgusted 45.2%
Calm 51.4%
Happy 45%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 51.4%
Happy 45.1%
Confused 45.1%
Disgusted 45%
Surprised 45.1%
Calm 51%
Angry 45.1%
Sad 48.7%

AWS Rekognition

Age 35-52
Gender Male, 51.8%
Angry 48.5%
Calm 46.2%
Disgusted 45.6%
Happy 45%
Surprised 45.2%
Sad 49.1%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Sad 48.1%
Calm 50.4%
Happy 45.1%
Confused 45.4%
Angry 45.4%
Disgusted 45.4%
Surprised 45.2%

AWS Rekognition

Age 26-44
Gender Male, 54.6%
Disgusted 45%
Confused 45.1%
Sad 53.5%
Surprised 45.1%
Calm 45.5%
Angry 45.7%
Happy 45.1%

AWS Rekognition

Age 38-57
Gender Male, 54%
Calm 51.1%
Angry 45.6%
Happy 45.1%
Disgusted 45.1%
Surprised 45.2%
Confused 45.1%
Sad 47.7%

AWS Rekognition

Age 23-38
Gender Male, 54.8%
Disgusted 45.1%
Surprised 45.1%
Angry 45.5%
Confused 45.2%
Calm 52.9%
Sad 46.1%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Sad 45.3%
Calm 51.6%
Angry 45.5%
Surprised 45.4%
Happy 46.1%
Confused 45.6%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.8%
Angry 49.5%
Sad 50.1%

AWS Rekognition

Age 38-57
Gender Female, 50%
Calm 49.9%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.9%
Confused 49.5%

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 41
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 43
Gender Male

Google Vision

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

Feature analysis

Amazon

Person 99.4%
Poster 59.5%

Categories

Imagga

Text analysis

Amazon

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