AI Data for Untitled (Vogel Furniture Store Cooking School, view of large audience) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	39-47
Gender	Female, 58.6%
Calm	98.8%
Sad	0.6%
Happy	0.2%
Disgusted	0.1%
Angry	0.1%
Confused	0.1%
Fear	0.1%
Surprised	0.1%

AWS Rekognition

Age	48-56
Gender	Female, 96.2%
Calm	84.5%
Happy	4%
Surprised	3.8%
Sad	2.6%
Confused	1.6%
Angry	1.4%
Disgusted	1.1%
Fear	0.9%

AWS Rekognition

Age	47-53
Gender	Male, 84.8%
Calm	67%
Angry	12.9%
Sad	11.6%
Surprised	3.5%
Confused	2.9%
Happy	1.2%
Disgusted	0.5%
Fear	0.3%

AWS Rekognition

Age	26-36
Gender	Male, 96.9%
Sad	75.4%
Calm	10.6%
Happy	8.8%
Confused	2.3%
Disgusted	1%
Angry	0.8%
Fear	0.8%
Surprised	0.3%

AWS Rekognition

Age	49-57
Gender	Male, 98.8%
Sad	65.3%
Confused	13.6%
Calm	7.9%
Happy	7.8%
Disgusted	1.7%
Surprised	1.6%
Fear	1.3%
Angry	0.7%

AWS Rekognition

Age	51-59
Gender	Male, 98%
Calm	98.9%
Sad	0.5%
Happy	0.2%
Confused	0.2%
Surprised	0.1%
Disgusted	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	35-43
Gender	Male, 96.8%
Calm	99.9%
Sad	0%
Happy	0%
Confused	0%
Disgusted	0%
Fear	0%
Angry	0%
Surprised	0%

AWS Rekognition

Age	41-49
Gender	Male, 76.9%
Calm	50.5%
Sad	33.1%
Happy	11.8%
Confused	1.5%
Disgusted	1.1%
Fear	0.9%
Angry	0.7%
Surprised	0.4%

AWS Rekognition

Age	10-18
Gender	Male, 97.1%
Calm	98.1%
Sad	0.5%
Surprised	0.3%
Disgusted	0.3%
Fear	0.2%
Angry	0.2%
Confused	0.2%
Happy	0.1%

AWS Rekognition

Age	33-41
Gender	Male, 99.3%
Calm	97.9%
Confused	1.2%
Sad	0.3%
Surprised	0.2%
Disgusted	0.2%
Fear	0.2%
Angry	0.1%
Happy	0%

AWS Rekognition

Age	6-12
Gender	Female, 92.2%
Calm	94.8%
Fear	3.3%
Sad	1.2%
Confused	0.2%
Disgusted	0.2%
Surprised	0.1%
Angry	0.1%
Happy	0.1%

AWS Rekognition

Age	20-28
Gender	Female, 99%
Sad	69%
Calm	27.1%
Happy	1.1%
Fear	0.9%
Confused	0.7%
Disgusted	0.7%
Angry	0.4%
Surprised	0.2%

AWS Rekognition

Age	18-24
Gender	Male, 75.4%
Calm	31.4%
Surprised	29%
Fear	15.3%
Angry	9.6%
Confused	5.6%
Disgusted	3.4%
Sad	3.4%
Happy	2.2%

AWS Rekognition

Age	21-29
Gender	Male, 99.6%
Calm	97.2%
Disgusted	0.5%
Confused	0.5%
Angry	0.5%
Happy	0.5%
Sad	0.4%
Surprised	0.4%
Fear	0.1%

AWS Rekognition

Age	39-47
Gender	Male, 95.7%
Calm	75.8%
Sad	17%
Angry	1.8%
Confused	1.4%
Surprised	1.2%
Happy	1.2%
Disgusted	1%
Fear	0.6%

AWS Rekognition

Age	24-34
Gender	Female, 90.5%
Surprised	31.9%
Sad	24.6%
Calm	10.2%
Disgusted	9.7%
Fear	7.3%
Confused	6.6%
Happy	4.9%
Angry	4.8%

AWS Rekognition

Age	18-26
Gender	Female, 59.3%
Calm	97.1%
Happy	1.5%
Sad	1.3%
Confused	0%
Disgusted	0%
Fear	0%
Angry	0%
Surprised	0%

AWS Rekognition

Age	7-17
Gender	Female, 96.9%
Sad	75.4%
Fear	22.1%
Happy	1%
Calm	0.9%
Angry	0.2%
Disgusted	0.2%
Surprised	0.1%
Confused	0.1%

AWS Rekognition

Age	7-17
Gender	Female, 96.4%
Sad	97.1%
Calm	1.1%
Disgusted	0.8%
Surprised	0.3%
Fear	0.2%
Angry	0.2%
Happy	0.1%
Confused	0.1%

AWS Rekognition

Age	34-42
Gender	Male, 66.2%
Calm	94.5%
Sad	2.2%
Confused	0.7%
Disgusted	0.6%
Happy	0.6%
Fear	0.5%
Angry	0.5%
Surprised	0.3%

AWS Rekognition

Age	21-29
Gender	Male, 97.7%
Calm	76.8%
Sad	13.7%
Happy	3.5%
Angry	2.1%
Fear	1.6%
Confused	1.3%
Disgusted	0.6%
Surprised	0.5%

AWS Rekognition

Age	20-28
Gender	Male, 98.2%
Calm	95.7%
Sad	2.3%
Happy	0.7%
Confused	0.6%
Disgusted	0.2%
Fear	0.2%
Angry	0.1%
Surprised	0.1%

AWS Rekognition

Age	31-41
Gender	Male, 99.5%
Calm	99.8%
Sad	0.1%
Confused	0.1%
Happy	0%
Fear	0%
Disgusted	0%
Surprised	0%
Angry	0%

AWS Rekognition

Age	41-49
Gender	Male, 98.1%
Calm	99.6%
Sad	0.3%
Confused	0%
Happy	0%
Angry	0%
Disgusted	0%
Fear	0%
Surprised	0%

AWS Rekognition

Age	16-22
Gender	Female, 80.2%
Happy	57%
Calm	26.8%
Sad	7.5%
Confused	2.4%
Surprised	2.3%
Disgusted	1.9%
Fear	1.1%
Angry	1%

AWS Rekognition

Age	23-33
Gender	Male, 82.6%
Happy	34.4%
Calm	27.9%
Sad	20%
Confused	7.4%
Fear	4.4%
Surprised	2.7%
Angry	1.7%
Disgusted	1.5%

AWS Rekognition

Age	21-29
Gender	Male, 91.6%
Sad	93.9%
Calm	1.6%
Happy	1.2%
Disgusted	1.2%
Angry	0.8%
Fear	0.5%
Confused	0.5%
Surprised	0.2%

AWS Rekognition

Age	48-56
Gender	Female, 75.6%
Calm	97.1%
Disgusted	0.9%
Happy	0.5%
Confused	0.5%
Sad	0.4%
Angry	0.3%
Surprised	0.3%
Fear	0.1%

AWS Rekognition

Age	30-40
Gender	Male, 96.4%
Sad	83.9%
Happy	6.1%
Calm	5.3%
Confused	1.8%
Disgusted	0.8%
Fear	0.8%
Angry	0.8%
Surprised	0.6%

AWS Rekognition

Age	6-16
Gender	Female, 99%
Sad	91.2%
Angry	3.8%
Calm	2.6%
Fear	0.9%
Surprised	0.5%
Happy	0.4%
Disgusted	0.4%
Confused	0.2%

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	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	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

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	Likely

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person	99.5%

Captions

Microsoft
created on 2022-01-22

a group of people standing in front of a crowd	94.9%

a group of people in front of a crowd	94.8%

a group of people standing in front of a crowd of people	93.8%

Title Untitled (Vogel Furniture Store Cooking School, view of large audience)	Date 1950
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, 4.2002.3167

Audience	99.9

Crowd	99.9

Human	99.9

Interior Design	99.8

Indoors	99.8

Person	99.5

Person	99.3

Person	99.1

Person	98.9

Person	97.8

Person	95.9

Person	92.2

Room	91.2

Person	89.2

Auditorium	77.6

Theater	77.6

Hall	77.6

People	77.3

Person	71.3

Person	65.4

Seminar	62

Lecture	62

Classroom	62

School	62

Speech	62

Person	60.9

Portrait	60.3

Photography	60.3

Face	60.3

Photo	60.3

Concert	59.1

Reception	55.7

Furniture	55.7

Stage	55.6

Person	55.2

Person	50.2

people	100

many	99.3

crowd	98.3

group	98.1

audience	97.9

man	97.4

child	95.5

adult	94.5

group together	93.4

education	92.5

woman	91.4

music	91.3

leader	89.7

indoors	88.8

league	86.1

recreation	85.2

school	82.9

administration	81.3

ceremony	81.1

monochrome	80.7

hall	34

city	25.7

spectator	25.5

people	25.1

stage	21.8

urban	19.2

room	18.5

group	17.7

architecture	17.2

classroom	16.4

crowd	16.3

travel	16.2

business	15.8

brass	15.2

building	14.8

platform	13.7

person	13.4

male	12.8

tourism	12.4

sky	12.1

event	12

wind instrument	11.7

light	11.3

cityscape	11.3

men	11.1

street	11

audience	10.7

panorama	10.5

buildings	10.4

work	10.2

trombone	10.2

sea	10.1

man	10.1

night	9.8

office	9.6

famous	9.3

tourist	9.2

center	9

vacation	9

businessman	8.8

panoramic	8.6

party	8.6

meeting	8.5

musical instrument	8.4

old	8.3

town	8.3

silhouette	8.3

music	8.1

photographer	8.1

women	7.9

summer	7.7

port	7.7

skyline	7.6

bay	7.5

boat	7.4

landscape	7.4

structure	7.4

teamwork	7.4

water	7.3

computer	7.2

coast	7.2

professional	7.2

disco	7.1

interior	7.1

restaurant	7

modern	7

Photograph	94.2

Style	83.8

Black-and-white	83.7

Concert	80.6

Music	78.7

People	78.3

Suit	76.5

Monochrome	74.4

Snapshot	74.3

Event	74.1

Crowd	73.7

Monochrome photography	73.5

Font	70.5

Entertainment	69.4

Performing arts	66.9

Audience	66.4

Stage	65.8

Chair	63.4

Metal	60.8

Stage equipment	60.8

text	95.4

person	95.2

concert	94.7

clothing	94.5

people	93

man	88.7

music	87.5

crowd	83.9

group	72.7

band	58.1

Human Generated Data

Title

Untitled (Vogel Furniture Store Cooking School, view of large audience)

Date

1950

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, 4.2002.3167

Human Generated Data

Title

Untitled (Vogel Furniture Store Cooking School, view of large audience)

People

Artist: Harry Annas, American 1897 - 1980

Date

1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3167

Machine Generated Data

Tags

Amazoncreated on 2022-01-22

Clarifaicreated on 2023-10-26

Imaggacreated on 2022-01-22

Googlecreated on 2022-01-22

Microsoftcreated on 2022-01-22

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

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

Amazon
created on 2022-01-22

Clarifai
created on 2023-10-26

Imagga
created on 2022-01-22

Google
created on 2022-01-22

Microsoft
created on 2022-01-22

Microsoft
created on 2022-01-22