AI Data for Untitled (group portrait of twenty-seven men standing and seven women sitting in large banquet hall) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	24-34
Gender	Male, 99.7%
Sad	59.6%
Angry	11.4%
Calm	9.7%
Disgusted	8.1%
Confused	4.3%
Fear	2.7%
Surprised	2.4%
Happy	1.8%

AWS Rekognition

Age	35-43
Gender	Female, 93.2%
Sad	37.7%
Calm	19.4%
Angry	14.7%
Happy	11.3%
Fear	4.9%
Disgusted	4.2%
Surprised	4%
Confused	3.9%

AWS Rekognition

Age	37-45
Gender	Male, 97.2%
Calm	66.8%
Disgusted	12.6%
Sad	8%
Happy	7%
Fear	2.1%
Surprised	1.5%
Angry	1.3%
Confused	0.8%

AWS Rekognition

Age	21-29
Gender	Male, 59.8%
Happy	39.6%
Calm	21.2%
Surprised	11%
Sad	8.4%
Disgusted	8%
Angry	4.7%
Fear	4%
Confused	3.2%

AWS Rekognition

Age	26-36
Gender	Male, 87.5%
Calm	93%
Sad	4.6%
Happy	0.5%
Confused	0.5%
Disgusted	0.4%
Fear	0.3%
Surprised	0.3%
Angry	0.3%

AWS Rekognition

Age	30-40
Gender	Male, 99.7%
Calm	95.8%
Sad	2%
Happy	1.2%
Surprised	0.3%
Confused	0.2%
Angry	0.2%
Disgusted	0.2%
Fear	0.1%

AWS Rekognition

Age	31-41
Gender	Male, 84.6%
Happy	64.3%
Sad	17%
Calm	13%
Disgusted	1.6%
Angry	1.2%
Surprised	1.2%
Confused	1.1%
Fear	0.5%

AWS Rekognition

Age	27-37
Gender	Male, 96%
Calm	51.1%
Sad	42.9%
Happy	3.8%
Angry	0.8%
Fear	0.4%
Confused	0.4%
Disgusted	0.3%
Surprised	0.3%

AWS Rekognition

Age	19-27
Gender	Female, 90.2%
Sad	87.3%
Angry	3.6%
Disgusted	2.6%
Surprised	1.5%
Happy	1.3%
Fear	1.2%
Calm	1.2%
Confused	1.1%

AWS Rekognition

Age	48-54
Gender	Male, 99.9%
Happy	47.7%
Calm	26.7%
Sad	18.3%
Surprised	2.5%
Confused	1.9%
Fear	1.3%
Angry	0.9%
Disgusted	0.7%

AWS Rekognition

Age	21-29
Gender	Female, 70.1%
Calm	71.2%
Sad	20.1%
Confused	2.1%
Surprised	1.6%
Fear	1.5%
Disgusted	1.4%
Happy	1%
Angry	1%

AWS Rekognition

Age	36-44
Gender	Male, 98%
Calm	93.6%
Sad	1.8%
Confused	1.7%
Disgusted	0.8%
Surprised	0.6%
Happy	0.6%
Angry	0.5%
Fear	0.3%

AWS Rekognition

Age	27-37
Gender	Male, 99.1%
Sad	67.3%
Happy	22.9%
Calm	4.1%
Confused	2.8%
Angry	1%
Disgusted	0.8%
Surprised	0.7%
Fear	0.4%

AWS Rekognition

Age	19-27
Gender	Male, 53.1%
Calm	70.6%
Happy	13.6%
Sad	6.2%
Angry	2.7%
Confused	2.4%
Disgusted	2.3%
Surprised	1.5%
Fear	0.7%

AWS Rekognition

Age	23-31
Gender	Male, 96.8%
Calm	98.2%
Sad	0.8%
Confused	0.3%
Disgusted	0.2%
Happy	0.2%
Angry	0.1%
Surprised	0.1%
Fear	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 92%
Calm	84.3%
Sad	10.2%
Confused	1.3%
Surprised	1.2%
Happy	1.1%
Disgusted	0.9%
Fear	0.5%
Angry	0.5%

AWS Rekognition

Age	39-47
Gender	Male, 97.2%
Calm	81.8%
Sad	4.8%
Happy	4.4%
Confused	3.8%
Angry	3.2%
Surprised	1%
Disgusted	0.7%
Fear	0.2%

AWS Rekognition

Age	29-39
Gender	Male, 99.7%
Calm	92.4%
Sad	6.4%
Confused	0.7%
Fear	0.1%
Disgusted	0.1%
Happy	0.1%
Angry	0.1%
Surprised	0.1%

AWS Rekognition

Age	20-28
Gender	Male, 98.9%
Calm	69%
Sad	18%
Angry	7.2%
Happy	1.5%
Fear	1.3%
Disgusted	1.2%
Confused	1%
Surprised	0.8%

AWS Rekognition

Age	22-30
Gender	Female, 98.1%
Calm	46.1%
Sad	22.2%
Confused	12%
Angry	8.2%
Happy	5.1%
Surprised	2.5%
Fear	2.1%
Disgusted	1.7%

AWS Rekognition

Age	31-41
Gender	Male, 99.8%
Calm	62.4%
Sad	14.6%
Happy	13.3%
Confused	2.6%
Angry	2.6%
Fear	1.8%
Disgusted	1.5%
Surprised	1.3%

AWS Rekognition

Age	33-41
Gender	Male, 86.7%
Calm	90.3%
Fear	8.3%
Happy	0.6%
Sad	0.4%
Disgusted	0.1%
Surprised	0.1%
Angry	0.1%
Confused	0.1%

AWS Rekognition

Age	24-34
Gender	Male, 95.5%
Sad	51.7%
Calm	19.8%
Angry	10%
Fear	6.7%
Disgusted	4.8%
Happy	3.3%
Confused	2.1%
Surprised	1.5%

AWS Rekognition

Age	20-28
Gender	Male, 96.5%
Calm	95.2%
Happy	1.3%
Fear	0.8%
Disgusted	0.7%
Surprised	0.6%
Sad	0.6%
Confused	0.4%
Angry	0.4%

AWS Rekognition

Age	26-36
Gender	Female, 94.3%
Calm	97.2%
Sad	1.3%
Confused	0.5%
Happy	0.4%
Angry	0.3%
Surprised	0.2%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	37-45
Gender	Male, 99.7%
Calm	91.3%
Sad	3.9%
Happy	1.9%
Surprised	0.8%
Confused	0.8%
Angry	0.7%
Disgusted	0.5%
Fear	0.2%

AWS Rekognition

Age	16-22
Gender	Male, 99.9%
Calm	89.6%
Happy	4.9%
Fear	1.9%
Surprised	1.5%
Sad	0.8%
Disgusted	0.7%
Angry	0.5%
Confused	0.2%

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	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 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	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	Possible

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	Very unlikely
Blurred	Possible

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 likely

Feature analysis

Amazon

Person	99.4%

Poster	90.6%

Captions

Microsoft
created on 2022-01-23

a vintage photo of a group of people posing for the camera	72.7%

a vintage photo of a group of people posing for a picture	72.6%

a group of people posing for a photo	72.5%

Text analysis

Amazon

c> 0

Title Untitled (group portrait of twenty-seven men standing and seven women sitting in large banquet hall)	Date 1935
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, 4.2002.9072

Person	99.4

Human	99.4

Person	99.2

Person	99.2

Person	98.3

Person	98.1

Person	97.7

Person	95.7

Advertisement	90.6

Poster	90.6

Clothing	90.1

Apparel	90.1

Person	88.2

Person	85.4

Person	78.6

People	76.7

Outdoors	72.8

Nature	72.5

Person	72.2

Crowd	71.4

Building	68.4

Countryside	66.4

Face	63.6

Text	59.6

Person	57.4

Shack	56.8

Hut	56.8

Rural	56.8

Person	54.4

Person	47.9

people	99.8

group	99.3

many	99

group together	97.6

adult	96.3

education	95.9

man	95

woman	94.5

uniform	93.3

wear	91.9

school	90.6

child	84.1

outfit	81.8

interaction	78.4

leader	73.3

several	72

indoors	71.1

medical practitioner	67.3

portrait	65.5

five	65.3

television	38.4

broadcasting	25.5

people	24

groom	21.1

bride	20.6

couple	20

telecommunication	19

man	18.8

wedding	17.5

dress	16.2

spectator	15.5

adult	15.1

happiness	14.1

happy	13.8

male	12.8

two	12.7

medium	12.7

black	12.6

love	11.8

marriage	11.4

bouquet	11.3

monitor	10.7

business	10.3

city	10

husband	9.7

together	9.6

celebration	9.6

person	9.5

window	9.4

future	9.3

old	9

world	9

office	9

married	8.6

passenger	8.6

art	8.5

park	8.3

back	8.3

transport	8.2

indoor	8.2

transportation	8.1

interior	7.9

smiling	7.9

women	7.9

holiday	7.9

urban	7.9

architecture	7.8

kin	7.8

wife	7.6

outdoors	7.5

new	7.3

romance	7.1

smile	7.1

romantic	7.1

businessman	7.1

Dress	90.3

Human body	88.4

Picture frame	83.1

Vintage clothing	75.7

One-piece garment	70.5

Monochrome photography	67.8

Event	67.7

Rectangle	67.6

Monochrome	66.5

Child	66

Room	65.7

Pattern	65.2

Art	63.6

Team	61.6

Paper product	61

Font	60.3

Display device	58.9

History	58.6

Photo caption	56.7

Visual arts	55.4

text	99.5

person	97.9

clothing	96

white	81.9

woman	77.5

dress	75.3

man	62.3

posing	56.3

image	33.8

interior objects	51.1%

paintings art	15.9%

text visuals	15.5%

streetview architecture	6.5%

cars vehicles	4.6%

food drinks	3.6%

events parties	1.9%

Human Generated Data

Title

Untitled (group portrait of twenty-seven men standing and seven women sitting in large banquet hall)

Date

1935

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, 4.2002.9072

Human Generated Data

Title

Untitled (group portrait of twenty-seven men standing and seven women sitting in large banquet hall)

People

Artist: Martin Schweig, American 20th century

Date

1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9072

Machine Generated Data

Tags

Amazoncreated on 2022-01-23

Clarifaicreated on 2023-10-26

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

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

Amazon
created on 2022-01-23

Clarifai
created on 2023-10-26

Imagga
created on 2022-01-23

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

Microsoft
created on 2022-01-23