AI Data for Untitled (large family gathering around dining table) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	40-48
Gender	Female, 55.6%
Calm	98.1%
Sad	1.3%
Happy	0.2%
Fear	0.1%
Disgusted	0.1%
Angry	0.1%
Confused	0.1%
Surprised	0.1%

AWS Rekognition

Age	34-42
Gender	Male, 87%
Sad	99.7%
Calm	0.1%
Angry	0.1%
Fear	0%
Happy	0%
Confused	0%
Disgusted	0%
Surprised	0%

AWS Rekognition

Age	40-48
Gender	Female, 89.9%
Sad	52.6%
Happy	28.8%
Calm	9.7%
Confused	3.4%
Surprised	2.1%
Fear	1.8%
Disgusted	0.8%
Angry	0.7%

AWS Rekognition

Age	33-41
Gender	Male, 99.3%
Sad	93.7%
Happy	1.8%
Angry	1.1%
Disgusted	1%
Fear	0.8%
Confused	0.8%
Calm	0.5%
Surprised	0.3%

AWS Rekognition

Age	29-39
Gender	Male, 67.1%
Sad	65.2%
Calm	24.7%
Happy	5.2%
Confused	2.3%
Angry	0.9%
Disgusted	0.6%
Fear	0.6%
Surprised	0.5%

AWS Rekognition

Age	35-43
Gender	Male, 67.6%
Sad	76%
Calm	21.9%
Confused	0.8%
Happy	0.6%
Angry	0.2%
Disgusted	0.2%
Fear	0.1%
Surprised	0.1%

AWS Rekognition

Age	11-19
Gender	Male, 54.5%
Calm	75.8%
Sad	20.9%
Fear	1%
Confused	0.8%
Happy	0.6%
Angry	0.3%
Surprised	0.3%
Disgusted	0.3%

AWS Rekognition

Age	34-42
Gender	Male, 99.4%
Sad	70.5%
Calm	27.8%
Confused	0.6%
Angry	0.5%
Disgusted	0.2%
Happy	0.2%
Fear	0.1%
Surprised	0.1%

AWS Rekognition

Age	38-46
Gender	Male, 99.8%
Calm	40.2%
Angry	38.2%
Happy	11.6%
Sad	3.5%
Confused	2.7%
Surprised	1.7%
Fear	1.4%
Disgusted	0.7%

AWS Rekognition

Age	27-37
Gender	Male, 72.8%
Sad	40.3%
Calm	28%
Happy	25.1%
Confused	2.5%
Surprised	1.5%
Disgusted	1%
Fear	0.9%
Angry	0.8%

AWS Rekognition

Age	49-57
Gender	Male, 97.4%
Sad	76.3%
Calm	11.4%
Happy	3.4%
Confused	3.4%
Disgusted	1.8%
Angry	1.8%
Fear	1.2%
Surprised	0.9%

AWS Rekognition

Age	29-39
Gender	Female, 76.9%
Sad	70.8%
Happy	13.1%
Calm	11.2%
Confused	3.7%
Angry	0.4%
Disgusted	0.3%
Surprised	0.3%
Fear	0.2%

AWS Rekognition

Age	39-47
Gender	Female, 87.5%
Sad	64.4%
Calm	28.7%
Confused	2.9%
Happy	2.8%
Angry	0.4%
Fear	0.4%
Disgusted	0.3%
Surprised	0.2%

AWS Rekognition

Age	23-33
Gender	Male, 98.8%
Sad	67.4%
Angry	11.4%
Calm	10.2%
Fear	3.7%
Confused	2.8%
Disgusted	1.8%
Happy	1.3%
Surprised	1.2%

AWS Rekognition

Age	29-39
Gender	Female, 88.5%
Sad	77.4%
Calm	7.7%
Confused	7.5%
Happy	4.8%
Angry	0.9%
Disgusted	0.9%
Fear	0.4%
Surprised	0.3%

AWS Rekognition

Age	24-34
Gender	Male, 72.3%
Sad	33.4%
Calm	31.3%
Happy	15%
Confused	13.6%
Disgusted	3.2%
Surprised	2%
Angry	0.8%
Fear	0.7%

AWS Rekognition

Age	35-43
Gender	Female, 55.5%
Calm	99.1%
Happy	0.3%
Sad	0.2%
Confused	0.2%
Surprised	0.1%
Fear	0.1%
Disgusted	0%
Angry	0%

AWS Rekognition

Age	25-35
Gender	Male, 91.5%
Sad	67.4%
Calm	22.4%
Confused	2.7%
Happy	2.4%
Fear	2.1%
Angry	1.7%
Disgusted	0.7%
Surprised	0.6%

AWS Rekognition

Age	42-50
Gender	Male, 97.3%
Calm	60.6%
Happy	15.4%
Sad	6.2%
Confused	6%
Disgusted	4.1%
Fear	3.5%
Angry	2.5%
Surprised	1.6%

AWS Rekognition

Age	27-37
Gender	Male, 84.4%
Sad	30.5%
Happy	27.5%
Calm	19.6%
Confused	18.4%
Angry	1.1%
Disgusted	1%
Surprised	1%
Fear	0.8%

AWS Rekognition

Age	19-27
Gender	Female, 51%
Happy	57.4%
Sad	24.7%
Calm	8.6%
Fear	5.4%
Disgusted	1.2%
Surprised	1%
Angry	0.9%
Confused	0.9%

AWS Rekognition

Age	23-31
Gender	Female, 100%
Happy	69.6%
Calm	16%
Sad	11.5%
Confused	1.3%
Fear	0.7%
Angry	0.3%
Disgusted	0.3%
Surprised	0.2%

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	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	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	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	Likely

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	Likely

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	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	Possible

Feature analysis

Amazon

Person	98.3%

Chair	98%

Captions

Microsoft
created on 2022-01-21

a group of people posing for a photo	84.8%

a group of people posing for a picture	84.7%

a group of people posing for the camera	84.6%

Text analysis

Amazon

RAGO

T33A 2 RAGO

T33A 2

Google

3) 2.VEE.

2.VEE.

Title Untitled (large family gathering around dining table)	Date 1959
People Artist: Harry Annas, American 1897 - 1980	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3025

Person	98.3

Human	98.3

Person	98.1

Chair	98

Furniture	98

Person	96.9

Person	96.8

Person	96.5

Person	96.1

Person	94.9

Person	94.9

Person	90.6

Person	90.6

Room	90

Indoors	90

Person	89.4

Person	86.7

People	85.8

Chair	78.7

Table	78.3

Chair	75.8

Person	75.1

Person	70.1

Chair	67.4

Crowd	66.3

Clothing	65.1

Apparel	65.1

Dining Table	64.7

Portrait	61.1

Photography	61.1

Face	61.1

Photo	61.1

Stage	60.9

Clinic	59.8

Classroom	57.6

School	57.6

Cafeteria	56.9

Restaurant	56.9

Person	56

Person	45.6

people	99.6

group	98.4

many	97.9

group together	97.5

adult	97.4

man	96.4

woman	96.2

education	94.2

audience	91.7

class	91.7

presentation	91.2

school	90.8

crowd	89.2

classroom	87.9

chair	87.2

teacher	86.7

child	82.7

sitting	82.7

furniture	79.4

spectator	78.7

brass	100

wind instrument	77.6

musical instrument	54.1

people	26.2

cornet	23.7

person	23.7

group	22.5

male	21.3

man	20.8

businessman	19.4

chair	19.2

table	19

business	16.4

room	16.1

silhouette	15.7

men	15.4

lifestyle	12.3

boy	12.2

sitting	12

adult	11.7

teacher	11.4

crowd	10.5

classroom	10.5

bass	10.1

team	9.8

modern	9.8

interior	9.7

portrait	9.7

sax	9.7

corporate	9.4

happy	9.4

human	9

job	8.8

trombone	8.8

concert	8.7

couple	8.7

women	8.7

work	8.7

smiling	8.7

party	8.6

glass	8.5

friendship	8.4

black	8.4

company	8.4

event	8.3

fashion	8.3

outfit	8.2

board	8.1

worker	8.1

indoors	7.9

music	7.9

day	7.8

hands	7.8

conference	7.8

restaurant	7.8

wall	7.7

musical	7.7

stage	7.6

dinner	7.6

meeting	7.5

learning	7.5

holding	7.4

design	7.3

girls	7.3

active	7.3

device	7.3

success	7.2

handsome	7.1

dancer	7

together	7

Font	80

Art	79.7

Painting	79.4

Event	71.6

Rectangle	71.3

Chair	71.1

Picture frame	70.7

Suit	69.6

Illustration	68.4

Room	67

Photo caption	66.7

Visual arts	65.5

Drawing	65.3

Team	60.7

Crew	58.2

History	53

Class	52.9

Sitting	51.6

text	95.6

player	90.4

clothing	87.1

person	87

man	81.7

footwear	72.1

old	51.3

posing	47.9

text visuals	86.2%

paintings art	9.1%

beaches seaside	2.1%

streetview architecture	2.1%

Human Generated Data

Title

Untitled (large family gathering around dining table)

Date

1959

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3025

Human Generated Data

Title

Untitled (large family gathering around dining table)

People

Artist: Harry Annas, American 1897 - 1980

Date

1959

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3025

Machine Generated Data

Tags

Amazoncreated on 2022-01-21

Clarifaicreated on 2023-10-26

Imaggacreated on 2022-01-21

Googlecreated on 2022-01-21

Microsoftcreated on 2022-01-21

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

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

Amazon
created on 2022-01-21

Clarifai
created on 2023-10-26

Imagga
created on 2022-01-21

Google
created on 2022-01-21

Microsoft
created on 2022-01-21

Microsoft
created on 2022-01-21