AI Data for Untitled (large group of adults and children by banquet tables in corner of large room) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	19-31
Gender	Female, 50.4%
Disgusted	49.5%
Fear	49.5%
Confused	49.5%
Angry	49.5%
Calm	49.5%
Surprised	49.5%
Sad	50.5%
Happy	49.5%

AWS Rekognition

Age	30-46
Gender	Female, 50.1%
Calm	49.6%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Happy	50.3%
Angry	49.5%
Confused	49.5%
Sad	49.5%

AWS Rekognition

Age	21-33
Gender	Male, 50.5%
Angry	49.6%
Calm	50.1%
Happy	49.5%
Sad	49.5%
Fear	49.5%
Surprised	49.5%
Disgusted	49.7%
Confused	49.5%

AWS Rekognition

Age	23-35
Gender	Male, 50.4%
Disgusted	49.9%
Confused	49.5%
Sad	49.6%
Calm	49.9%
Angry	49.6%
Fear	49.5%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	29-45
Gender	Male, 50.4%
Disgusted	49.5%
Happy	49.5%
Angry	49.6%
Fear	49.5%
Calm	50.2%
Confused	49.5%
Surprised	49.6%
Sad	49.5%

AWS Rekognition

Age	9-19
Gender	Female, 50.4%
Happy	49.5%
Disgusted	49.5%
Fear	49.5%
Calm	50.1%
Confused	49.6%
Sad	49.5%
Surprised	49.7%
Angry	49.5%

AWS Rekognition

Age	28-44
Gender	Male, 50.5%
Angry	49.5%
Disgusted	49.5%
Fear	49.5%
Sad	49.5%
Happy	49.5%
Calm	50.1%
Confused	49.5%
Surprised	49.8%

AWS Rekognition

Age	33-49
Gender	Male, 50.2%
Calm	49.9%
Angry	49.6%
Fear	49.5%
Happy	49.6%
Sad	49.8%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	25-39
Gender	Male, 50.4%
Sad	49.8%
Fear	49.5%
Angry	49.5%
Surprised	49.5%
Calm	50.2%
Disgusted	49.5%
Confused	49.5%
Happy	49.5%

AWS Rekognition

Age	31-47
Gender	Male, 50.3%
Calm	49.7%
Surprised	49.5%
Happy	49.5%
Sad	50.2%
Confused	49.5%
Angry	49.5%
Fear	49.5%
Disgusted	49.5%

AWS Rekognition

Age	49-67
Gender	Male, 50.5%
Disgusted	49.9%
Happy	49.5%
Confused	49.6%
Angry	49.5%
Fear	49.5%
Sad	49.6%
Calm	49.9%
Surprised	49.5%

AWS Rekognition

Age	23-35
Gender	Male, 50.4%
Calm	49.6%
Sad	49.8%
Confused	49.5%
Happy	50%
Angry	49.5%
Disgusted	49.5%
Fear	49.5%
Surprised	49.5%

AWS Rekognition

Age	19-31
Gender	Female, 50.2%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Confused	49.5%
Sad	50.1%
Fear	49.7%
Angry	49.6%
Calm	49.5%

AWS Rekognition

Age	51-69
Gender	Female, 50.1%
Surprised	49.5%
Calm	49.5%
Fear	49.5%
Disgusted	49.5%
Happy	49.5%
Angry	49.7%
Sad	50.1%
Confused	49.7%

AWS Rekognition

Age	5-15
Gender	Male, 50.5%
Angry	49.5%
Happy	49.5%
Disgusted	49.5%
Fear	49.5%
Confused	49.5%
Surprised	49.5%
Calm	50.3%
Sad	49.6%

AWS Rekognition

Age	6-16
Gender	Female, 50%
Calm	49.7%
Fear	49.5%
Confused	49.5%
Happy	49.5%
Angry	49.6%
Disgusted	49.5%
Sad	50.2%
Surprised	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.3%
Angry	49.5%
Sad	49.8%
Confused	49.7%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Fear	49.6%
Calm	49.9%

AWS Rekognition

Age	23-37
Gender	Female, 50.3%
Calm	49.5%
Sad	50.5%
Angry	49.5%
Disgusted	49.5%
Happy	49.5%
Surprised	49.5%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	21-33
Gender	Male, 50.2%
Calm	49.8%
Surprised	49.5%
Angry	49.5%
Confused	49.5%
Happy	49.5%
Fear	49.5%
Sad	50.2%
Disgusted	49.5%

AWS Rekognition

Age	39-57
Gender	Female, 50.1%
Happy	49.5%
Angry	49.5%
Disgusted	49.5%
Calm	49.9%
Fear	49.6%
Surprised	49.7%
Confused	49.7%
Sad	49.6%

AWS Rekognition

Age	19-31
Gender	Male, 50.5%
Surprised	49.5%
Angry	49.5%
Sad	49.8%
Fear	49.6%
Disgusted	49.5%
Happy	49.5%
Calm	50%
Confused	49.6%

AWS Rekognition

Age	25-39
Gender	Female, 50%
Happy	49.6%
Confused	49.5%
Calm	49.9%
Fear	49.6%
Angry	49.6%
Sad	49.6%
Surprised	49.7%
Disgusted	49.5%

AWS Rekognition

Age	26-40
Gender	Male, 50.4%
Disgusted	49.5%
Happy	49.5%
Angry	49.5%
Confused	49.5%
Calm	49.6%
Fear	50.1%
Sad	49.6%
Surprised	49.6%

AWS Rekognition

Age	22-34
Gender	Male, 50.5%
Angry	49.8%
Calm	49.6%
Sad	49.5%
Happy	49.5%
Fear	49.6%
Confused	49.5%
Surprised	49.6%
Disgusted	49.7%

AWS Rekognition

Age	29-45
Gender	Male, 50.3%
Fear	49.7%
Happy	49.5%
Calm	49.9%
Surprised	49.5%
Disgusted	49.5%
Angry	49.5%
Sad	49.8%
Confused	49.5%

AWS Rekognition

Age	39-57
Gender	Male, 50.5%
Confused	49.5%
Calm	49.6%
Surprised	49.5%
Fear	49.6%
Happy	49.5%
Angry	49.6%
Sad	50.1%
Disgusted	49.5%

AWS Rekognition

Age	9-19
Gender	Male, 50.4%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Sad	50.1%
Confused	49.5%
Calm	49.5%
Fear	49.7%
Happy	49.6%

AWS Rekognition

Age	44-62
Gender	Male, 50.3%
Confused	49.5%
Sad	49.9%
Happy	49.5%
Angry	49.5%
Fear	49.5%
Disgusted	49.5%
Calm	50%
Surprised	49.5%

AWS Rekognition

Age	18-30
Gender	Female, 50.4%
Fear	49.5%
Disgusted	49.5%
Calm	50.2%
Angry	49.5%
Sad	49.8%
Surprised	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	1-5
Gender	Male, 50%
Calm	49.5%
Sad	49.6%
Fear	49.7%
Confused	49.5%
Angry	50.2%
Happy	49.5%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	28-44
Gender	Female, 50.2%
Confused	49.5%
Calm	49.7%
Sad	49.6%
Surprised	49.5%
Happy	49.5%
Disgusted	49.6%
Fear	49.5%
Angry	50.1%

AWS Rekognition

Age	15-27
Gender	Female, 50.1%
Happy	49.5%
Angry	49.5%
Fear	49.6%
Surprised	49.5%
Calm	49.5%
Sad	50.3%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	31-47
Gender	Female, 50.1%
Disgusted	50.3%
Happy	49.5%
Angry	49.6%
Calm	49.5%
Surprised	49.5%
Confused	49.5%
Sad	49.6%
Fear	49.5%

AWS Rekognition

Age	6-16
Gender	Male, 50.4%
Surprised	49.5%
Sad	49.9%
Calm	49.6%
Happy	49.6%
Confused	49.5%
Disgusted	49.5%
Fear	49.6%
Angry	49.6%

AWS Rekognition

Age	15-27
Gender	Male, 50.5%
Disgusted	49.5%
Confused	49.8%
Angry	49.8%
Sad	49.6%
Happy	49.5%
Surprised	49.5%
Calm	49.6%
Fear	49.6%

AWS Rekognition

Age	26-42
Gender	Male, 50.2%
Disgusted	49.6%
Sad	49.7%
Confused	49.6%
Happy	49.5%
Fear	49.6%
Surprised	49.5%
Calm	49.8%
Angry	49.7%

AWS Rekognition

Age	32-48
Gender	Female, 50%
Angry	49.6%
Calm	49.7%
Fear	49.6%
Disgusted	49.7%
Surprised	49.5%
Happy	49.6%
Sad	49.9%
Confused	49.5%

AWS Rekognition

Age	23-35
Gender	Female, 50.4%
Sad	49.5%
Calm	49.9%
Angry	49.6%
Fear	49.5%
Happy	49.9%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	26-40
Gender	Male, 50.5%
Sad	49.6%
Disgusted	49.5%
Confused	49.9%
Surprised	49.6%
Happy	49.5%
Fear	49.5%
Angry	49.5%
Calm	49.9%

AWS Rekognition

Age	24-38
Gender	Female, 50.3%
Disgusted	49.5%
Sad	49.6%
Calm	50%
Fear	49.5%
Happy	49.5%
Confused	49.6%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	14-26
Gender	Female, 50.1%
Happy	49.6%
Angry	49.5%
Disgusted	49.6%
Sad	49.9%
Surprised	49.5%
Calm	49.5%
Fear	49.9%
Confused	49.5%

AWS Rekognition

Age	23-35
Gender	Male, 50.3%
Fear	49.7%
Sad	49.8%
Disgusted	49.5%
Happy	49.6%
Angry	49.6%
Calm	49.6%
Surprised	49.5%
Confused	49.7%

AWS Rekognition

Age	36-54
Gender	Male, 50.3%
Sad	50.1%
Fear	49.5%
Disgusted	49.6%
Surprised	49.5%
Angry	49.6%
Calm	49.7%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	21-33
Gender	Male, 50.4%
Disgusted	49.5%
Angry	49.5%
Fear	49.5%
Happy	49.5%
Confused	50.2%
Sad	49.6%
Calm	49.5%
Surprised	49.5%

AWS Rekognition

Age	8-18
Gender	Male, 50%
Confused	49.5%
Calm	49.6%
Sad	49.5%
Surprised	49.6%
Happy	49.7%
Disgusted	49.5%
Fear	50%
Angry	49.5%

AWS Rekognition

Age	50-68
Gender	Male, 50.3%
Fear	49.5%
Calm	50.1%
Disgusted	49.5%
Happy	49.5%
Sad	49.6%
Confused	49.6%
Surprised	49.6%
Angry	49.6%

AWS Rekognition

Age	21-33
Gender	Female, 50%
Surprised	49.5%
Fear	49.5%
Happy	49.5%
Sad	49.9%
Calm	49.9%
Disgusted	49.5%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	13-25
Gender	Female, 50.2%
Happy	49.5%
Fear	49.5%
Sad	50.3%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%
Calm	49.5%
Angry	49.6%

AWS Rekognition

Age	30-46
Gender	Male, 50.4%
Confused	49.5%
Surprised	49.5%
Happy	49.5%
Calm	49.8%
Disgusted	49.5%
Sad	50.1%
Angry	49.5%
Fear	49.5%

Feature analysis

Amazon

Person

Person	97%

Person	95.4%

Person	95.2%

Person	94.7%

Person	94.4%

Person	90.7%

Person	89.9%

Person	80.3%

Person	79.4%

Person	78.4%

Person	76.6%

Person	71.8%

Person	59.9%

Person	55.1%

Person	42.3%

Captions

Microsoft
created on 2019-11-16

a group of people standing in front of a building	89.1%

a group of people in a room	89%

a group of people standing in a room	88.9%

Text analysis

Amazon

digososs

VOGOD

Title Untitled (large group of adults and children by banquet tables in corner of large room)	Date c. 1937, printed later
People Artist: Durette Studio, 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, 4.2002.5808

many	99.7

people	99.6

group together	99.4

group	98.9

adult	97.6

education	94.5

school	94.4

man	92.5

woman	92

winter	92

administration	91.6

crowd	90.2

wear	89.4

home	87.6

military	86.1

leader	84.9

chair	81.8

outfit	80.3

uniform	79.8

room	78.8

classroom	72.9

room	60.5

city	33.2

urban	28.8

hall	27.1

people	25.1

building	23.4

architecture	22.6

travel	22.5

transportation	22.4

station	22.3

crowd	19.2

interior	18.6

corridor	16.7

transport	16.4

business	16.4

man	14.8

snow	14.6

walk	14.3

chair	14.3

window	14

scene	13.8

tourist	13.8

glass	13.2

perspective	13.2

men	12.9

street	12.9

motion	12.8

subway	12.8

walking	12.3

reflection	12.2

floor	12.1

modern	11.9

winter	11.9

airport	11.7

silhouette	11.6

move	11.5

blurred	11.5

group	11.3

blur	11.2

indoor	11

gate	10.9

rush	10.8

passenger	10.7

light	10.7

person	10.2

metro	9.9

office	9.7

train	9.7

entrance	9.7

cold	9.5

journey	9.4

place	9.3

inside	9.2

life	9.2

speed	9.2

commuter	8.9

hallway	8.9

indoors	8.8

women	8.7

wall	8.6

adult	8.5

outdoor	8.4

seat	8.4

old	8.4

house	8.4

tourism	8.2

activity	8.1

center	8

arrival	7.9

walkway	7.8

male	7.8

empty	7.7

construction	7.7

sidewalk	7.7

bridge	7.6

outdoors	7.5

time	7.3

furniture	7.3

wheelchair	7.3

pedestrian	7.1

outfit	7.1

night	7.1

work	7.1

structure	7

passage	7

season	7

Photograph	97

Black-and-white	92.4

Snapshot	86.7

Monochrome photography	83.3

Monochrome	81.9

Room	79.1

Photography	75.7

Event	73.3

Stock photography	72.5

Gentleman	65.1

Crowd	62.7

Team	59.4

Style	55.5

person	89.5

indoor	88.4

people	56.4

dining room	6.6

Indoors	99.5

Room	99.2

Person	97

Human	97

Person	95.4

Crowd	95.4

Person	95.2

Person	94.7

Person	94.4

Theater	92.3

Auditorium	91.1

Hall	91.1

Person	90.7

Person	89.9

Person	80.3

Person	79.4

Person	78.4

Person	76.6

Stage	74.7

Person	71.8

Concert	71.4

People	61.3

Person	59.9

Funeral	57.6

Classroom	57.4

School	57.4

Interior Design	57.3

Musical Instrument	56.6

Orchestra	56

Ballroom	55.4

Person	55.1

Person	42.3

cars vehicles	36.1%

interior objects	22.5%

streetview architecture	20.2%

paintings art	7.5%

nature landscape	4.3%

pets animals	3.6%

events parties	1.4%

text visuals	1.4%

food drinks	1.3%

Human Generated Data

Title

Untitled (large group of adults and children by banquet tables in corner of large room)

Date

c. 1937, printed later

People

Artist: Durette Studio, 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, 4.2002.5808

Human Generated Data

Title

Untitled (large group of adults and children by banquet tables in corner of large room)

People

Artist: Durette Studio, American 20th century

Date

c. 1937, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5808

Machine Generated Data

Tags

Amazoncreated on 2019-11-16

Clarifaicreated on 2019-11-16

Imaggacreated on 2019-11-16

Googlecreated on 2019-11-16

Microsoftcreated on 2019-11-16

Color Analysis

Face analysis

Amazon

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

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

Amazon
created on 2019-11-16

Clarifai
created on 2019-11-16

Imagga
created on 2019-11-16

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

Microsoft
created on 2019-11-16