AI Data for Untitled (large group portrait of nineteen member family in formal wear posing in front of mantel) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	25-35
Gender	Male, 94.7%
Calm	73.1%
Surprised	9.7%
Happy	6.7%
Disgusted	4%
Confused	2.9%
Sad	1.2%
Fear	1.2%
Angry	1.2%

AWS Rekognition

Age	25-35
Gender	Male, 100%
Calm	84.6%
Sad	4.6%
Disgusted	3.4%
Surprised	2.7%
Confused	1.9%
Happy	1.7%
Angry	0.6%
Fear	0.5%

AWS Rekognition

Age	22-30
Gender	Male, 99%
Calm	96.4%
Sad	1.1%
Happy	0.7%
Confused	0.6%
Disgusted	0.6%
Surprised	0.2%
Angry	0.2%
Fear	0.1%

AWS Rekognition

Age	45-51
Gender	Male, 99%
Calm	85%
Sad	13.7%
Happy	0.4%
Confused	0.3%
Surprised	0.2%
Disgusted	0.2%
Angry	0.2%
Fear	0.1%

AWS Rekognition

Age	27-37
Gender	Male, 99.7%
Calm	98%
Happy	1%
Surprised	0.8%
Confused	0.1%
Sad	0.1%
Disgusted	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	26-36
Gender	Male, 99.4%
Calm	94.8%
Happy	1.5%
Sad	1.1%
Surprised	0.9%
Disgusted	0.8%
Confused	0.4%
Angry	0.3%
Fear	0.2%

AWS Rekognition

Age	51-59
Gender	Male, 97.2%
Calm	89.2%
Happy	5.8%
Sad	3.2%
Confused	0.6%
Surprised	0.5%
Fear	0.3%
Angry	0.3%
Disgusted	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 74.3%
Calm	98.6%
Happy	0.5%
Sad	0.4%
Surprised	0.2%
Disgusted	0.1%
Angry	0.1%
Fear	0.1%
Confused	0.1%

AWS Rekognition

Age	29-39
Gender	Male, 95.8%
Calm	97.2%
Surprised	1.7%
Happy	0.5%
Angry	0.1%
Sad	0.1%
Disgusted	0.1%
Fear	0.1%
Confused	0.1%

AWS Rekognition

Age	25-35
Gender	Female, 54.5%
Calm	94.2%
Happy	3.2%
Surprised	1.1%
Sad	1%
Confused	0.2%
Disgusted	0.1%
Angry	0.1%
Fear	0.1%

AWS Rekognition

Age	36-44
Gender	Male, 99.2%
Calm	73.2%
Sad	10.7%
Confused	5.7%
Happy	3%
Disgusted	2.7%
Surprised	1.9%
Fear	1.5%
Angry	1.3%

AWS Rekognition

Age	25-35
Gender	Male, 80.2%
Calm	77.3%
Surprised	13.3%
Happy	8.7%
Angry	0.2%
Disgusted	0.2%
Sad	0.2%
Confused	0.1%
Fear	0.1%

AWS Rekognition

Age	23-33
Gender	Male, 96.1%
Happy	96.4%
Calm	2.5%
Surprised	0.8%
Sad	0.1%
Confused	0.1%
Fear	0.1%
Angry	0.1%
Disgusted	0%

AWS Rekognition

Age	38-46
Gender	Male, 89.9%
Calm	98%
Happy	0.6%
Confused	0.3%
Surprised	0.3%
Sad	0.3%
Disgusted	0.2%
Angry	0.2%
Fear	0.1%

AWS Rekognition

Age	26-36
Gender	Male, 58.1%
Calm	46.2%
Happy	34.6%
Sad	6.4%
Confused	4.5%
Surprised	3.7%
Angry	2.1%
Disgusted	2.1%
Fear	0.4%

AWS Rekognition

Age	25-35
Gender	Female, 88.9%
Calm	97.1%
Sad	1.4%
Surprised	0.7%
Happy	0.5%
Disgusted	0.1%
Confused	0.1%
Angry	0.1%
Fear	0%

AWS Rekognition

Age	21-29
Gender	Male, 72.4%
Calm	89.6%
Surprised	9.6%
Happy	0.3%
Disgusted	0.1%
Angry	0.1%
Confused	0.1%
Sad	0.1%
Fear	0.1%

AWS Rekognition

Age	34-42
Gender	Male, 85.3%
Calm	98%
Happy	0.9%
Confused	0.3%
Surprised	0.3%
Sad	0.2%
Disgusted	0.1%
Angry	0.1%
Fear	0.1%

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	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	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	Unlikely
Blurred	Very unlikely

Google Vision

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

Feature analysis

Amazon

Person	99.4%

Poster	99.3%

Skateboard	74.7%

Captions

Microsoft
created on 2022-01-23

a group of people posing for a photo	67%

a group of people posing for the camera	66.9%

a group of people posing for a picture	66.8%

Text analysis

Amazon

C 3 e

ТӀИ

ЭТАД

MJI3 ЭТАД ТӀИ

MJI3

JAJA

Google

MJIR 3TARTIN ARJA

MJIR

3TARTIN

ARJA

Title Untitled (large group portrait of nineteen member family in formal wear posing in front of mantel)	Date 1936
People Artist: Martin Schweig, American 20th century	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9113

group	100

people	100

adult	99.2

many	99.1

woman	98.9

child	98.8

man	97.6

family	96.7

leader	96

several	95.7

print	95.5

son	95.3

illustration	95

music	94.4

group together	93.1

offspring	91.9

art	91.8

administration	90.6

education	89.1

room	89

tray	36.1

web site	31

receptacle	29.2

blackboard	23

container	22.9

background	20.6

screen	19

cash	18.3

money	17.8

art	17.2

currency	17

vintage	16.5

letter	15.6

stamp	15.5

envelope	15

postmark	14.8

old	14.6

business	14.6

mail	14.4

bank	14.3

bill	14.3

printed	13.8

postage	13.7

finance	13.5

display	13.5

one	13.4

dollar	13

banking	12.9

circa	12.8

postal	12.7

financial	12.5

symbol	12.1

savings	12.1

black	12

global	11.8

shows	11.8

retro	11.5

television	11.2

man	10.8

design	10.7

billboard	10.4

ancient	10.4

rich	10.2

grunge	10.2

economy	10.2

office	9.6

closeup	9.4

culture	9.4

message	9.1

aged	9

wealth	9

people	8.9

dollars	8.7

pay	8.6

paper	8.6

communications	8.6

exchange	8.6

painted	8.6

card	8.5

monitor	8.3

electronic device	8.2

paint	8.1

philately	7.9

renaissance	7.9

address	7.8

banknotes	7.8

paintings	7.8

bills	7.8

museum	7.8

hundred	7.7

signboard	7.7

post	7.6

unique	7.6

church	7.4

note	7.3

window	7.3

newspaper	7.2

icon	7.1

structure	7.1

market	7.1

male	7.1

Textile	87.4

Dress	84.3

Font	82.1

Art	81.7

Picture frame	79.7

Event	71.4

Visual arts	70.2

Pattern	69.2

History	66

Room	65.7

Rectangle	65.1

Vintage clothing	63.2

Stock photography	62.2

Painting	60.8

Illustration	60

Monochrome	57.8

Collection	56.3

Drawing	54.6

Paper product	54.4

text	99.3

person	96

clothing	95.2

drawing	89.5

woman	86.6

dress	83.8

posing	68.9

sketch	50.1

old	46.9

Person	99.4

Human	99.4

Person	99.3

Poster	99.3

Advertisement	99.3

Person	99.3

Person	99.1

Person	99.1

Person	98.6

Person	98.1

Person	98

Person	96.3

Person	94.2

Person	91.1

Person	87.3

Person	86.2

Person	82.5

Collage	82

Person	81.4

Clothing	79.3

Apparel	79.3

Skateboard	74.7

Sport	74.7

Sports	74.7

Art	70.3

Text	70

Dress	68.6

Person	68.5

Person	67.2

People	65.9

Person	62.6

Crowd	59.4

Female	57.9

Girl	55.8

streetview architecture	32.5%

interior objects	22.5%

paintings art	22.3%

text visuals	16.7%

food drinks	5%

Human Generated Data

Title

Untitled (large group portrait of nineteen member family in formal wear posing in front of mantel)

Date

1936

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9113

Human Generated Data

Title

Untitled (large group portrait of nineteen member family in formal wear posing in front of mantel)

People

Artist: Martin Schweig, American 20th century

Date

1936

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9113

Machine Generated Data

Tags

Amazoncreated on 2022-01-23

Clarifaicreated on 2023-10-27

Imaggacreated on 2022-01-23

Googlecreated on 2022-01-23

Microsoftcreated on 2022-01-23

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2022-01-23

Text analysis

Amazon

Google

Amazon
created on 2022-01-23

Clarifai
created on 2023-10-27

Imagga
created on 2022-01-23

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

Microsoft
created on 2022-01-23