AI Data for Untitled (Civil Works Administration demonstration, near the United States Customs House, New York City) | AI Explorer

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Human Generated Data

Title Untitled (Civil Works Administration demonstration, near the United States Customs House, New York City)	Date December 1933-March 1934
People Artist: Ben Shahn, American 1898 - 1969	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5588

Human Generated Data

Title

Untitled (Civil Works Administration demonstration, near the United States Customs House, New York City)

People

Artist: Ben Shahn, American 1898 - 1969

Date

December 1933-March 1934

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5588

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age	33-49
Gender	Male, 98.5%
Angry	0%
Calm	99.9%
Happy	0%
Fear	0%
Surprised	0%
Disgusted	0%
Confused	0%
Sad	0%

Feature analysis

Amazon

Hat

Person

Hat	99.7%

Captions

Microsoft
created on 2019-11-11

a group of people posing for a photo	89.7%

a group of people posing for a photo in front of a crowd	89.6%

a group of people posing for the camera	89.5%

Text analysis

Amazon

Cha,

Google

Cho 40 ORI

Cho

40

ORI

Clothing	100

Apparel	100

Hat	99.7

Human	99.5

Person	99.5

Person	98.3

Person	98.3

Person	98.1

Hat	97

Person	95.8

Sun Hat	94.8

Hat	94.4

Person	94.1

Hat	93.9

Person	91

Person	85.3

Hat	85.3

Person	84.8

Person	84.5

Hat	82.9

Cowboy Hat	82.2

Person	81.7

Person	79.2

Person	78.2

Hat	72.6

Hat	71.9

Hat	70.3

Person	63.4

Crowd	61.9

Hat	60.7

Person	48.5

people	99.9

many	99.9

veil	99.7

group	99.6

group together	99.4

crowd	98.9

man	98.6

lid	98.2

adult	97.5

audience	97.2

spectator	95.8

leader	95.6

military	94.8

fedora	94.5

wear	94.4

outfit	92.9

war	91.7

uniform	90.1

administration	89.4

woman	89.4

cowboy hat	100

hat	100

headdress	100

clothing	70.6

consumer goods	38.1

covering	37.7

food	16.3

coins	15.4

money	15.3

business	15.2

market	14.2

currency	13.5

close	13.1

many	12

bank	11.6

banking	11

cash	11

wealth	10.8

group	10.5

metal	10.5

dinner	10.2

treasure	9.6

pattern	9.6

coin	9.5

finance	9.3

drink	9.2

objects	8.7

table	8.6

restaurant	8.6

savings	8.4

banquet	8.4

investment	8.2

meal	8.2

closeup	8.1

financial	8

breakfast	7.9

change	7.7

eat	7.5

tea	7.5

coffee	7.4

china	7.4

beverage	7.3

success	7.2

concepts	7.1

summer	7.1

People	96

Crowd	91

Headgear	72.3

Personal protective equipment	59.3

hat	98.9

person	97.6

clothing	96.2

man	84.8

fedora	83.5

fashion accessory	80.2

cowboy hat	79.8

sun hat	73.8

group	58

crowd	6

Age	34-50
Gender	Male, 54.9%
Angry	45%
Disgusted	45%
Surprised	45%
Happy	45.1%
Sad	45.2%
Fear	45%
Confused	45%
Calm	54.6%

Age	24-38
Gender	Male, 55%
Sad	45.3%
Fear	45.1%
Angry	45.4%
Happy	45.2%
Disgusted	45.1%
Calm	53.8%
Surprised	45.1%
Confused	45.1%

Age	32-48
Gender	Male, 54.8%
Angry	45%
Sad	53.6%
Calm	46.3%
Confused	45%
Fear	45%
Surprised	45%
Happy	45%
Disgusted	45%

Age	34-50
Gender	Male, 92.1%
Disgusted	0%
Fear	0%
Calm	99.8%
Sad	0.1%
Happy	0%
Angry	0%
Surprised	0%
Confused	0%

Age	33-49
Gender	Male, 54.7%
Sad	46.1%
Calm	48.8%
Angry	49.8%
Happy	45%
Disgusted	45.1%
Fear	45%
Surprised	45%
Confused	45.1%

Age	26-40
Gender	Male, 55%
Disgusted	45.1%
Fear	45%
Sad	45.6%
Happy	45%
Angry	45.1%
Calm	54.1%
Confused	45%
Surprised	45%

Age	22-34
Gender	Male, 53.7%
Fear	45%
Calm	53.2%
Happy	46.4%
Sad	45.3%
Surprised	45%
Disgusted	45%
Angry	45%
Confused	45%

Age	23-37
Gender	Male, 54%
Happy	45.4%
Calm	46.7%
Sad	45.3%
Fear	45.4%
Disgusted	45%
Surprised	45.6%
Confused	45.1%
Angry	51.4%

Age	21-33
Gender	Female, 50.8%
Disgusted	45.1%
Angry	45.4%
Calm	49.8%
Happy	48.2%
Fear	45.1%
Confused	45.1%
Sad	45.9%
Surprised	45.4%

Age	22-34
Gender	Male, 98%
Disgusted	1.9%
Calm	82.4%
Confused	1.1%
Happy	0.3%
Fear	0.7%
Angry	0.8%
Sad	11.8%
Surprised	1.1%

Age	23-35
Gender	Male, 51%
Calm	46.3%
Sad	52%
Fear	46.1%
Confused	45.1%
Angry	45.2%
Disgusted	45.2%
Happy	45%
Surprised	45%

Age	30-46
Gender	Male, 54.8%
Happy	45%
Disgusted	45.1%
Surprised	45%
Calm	47.6%
Fear	45%
Sad	52.3%
Confused	45%
Angry	45%

Age	21-33
Gender	Male, 52.2%
Surprised	45.1%
Sad	45.4%
Angry	45.3%
Calm	53.2%
Fear	45%
Disgusted	45.9%
Happy	45%
Confused	45.1%

Age	29-45
Gender	Male, 52.5%
Disgusted	45.1%
Calm	50.9%
Angry	45%
Confused	45%
Fear	45%
Sad	45.1%
Happy	48.7%
Surprised	45.1%

Age	22-34
Gender	Male, 54.5%
Happy	45.1%
Disgusted	45.2%
Confused	45.1%
Fear	45%
Surprised	45.1%
Sad	45.7%
Calm	53.6%
Angry	45.2%

Age	21-33
Gender	Male, 54.6%
Angry	45.3%
Surprised	45%
Calm	49%
Confused	45.1%
Happy	45.1%
Disgusted	45%
Sad	50.5%
Fear	45%

Age	33-49
Gender	Male, 54.1%
Calm	45.1%
Disgusted	45%
Confused	45%
Fear	45.1%
Happy	45%
Angry	45.2%
Surprised	45%
Sad	54.6%

Age	30-46
Gender	Male, 52.4%
Happy	45%
Sad	45%
Disgusted	45%
Confused	45%
Calm	54.9%
Angry	45%
Surprised	45%
Fear	45%

Age	16-28
Gender	Male, 54.7%
Calm	45.6%
Fear	45.3%
Disgusted	45.1%
Happy	45.6%
Angry	45.5%
Sad	52.5%
Confused	45.3%
Surprised	45.2%

Age	29-45
Gender	Male, 52.9%
Disgusted	45%
Angry	45.1%
Calm	54.6%
Surprised	45.1%
Fear	45%
Happy	45%
Sad	45.1%
Confused	45%

Human Generated Data

Title

Untitled (Civil Works Administration demonstration, near the United States Customs House, New York City)

Date

December 1933-March 1934

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5588

Human Generated Data

Title

Untitled (Civil Works Administration demonstration, near the United States Customs House, New York City)

People

Artist: Ben Shahn, American 1898 - 1969

Date

December 1933-March 1934

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.5588

Machine Generated Data

Tags

Amazoncreated on 2019-11-11

Clarifaicreated on 2019-11-11

Imaggacreated on 2019-11-11

Googlecreated on 2019-11-11

Microsoftcreated on 2019-11-11

Color Analysis

Face analysis

Amazon

Microsoft

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

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Feature analysis

Amazon
created on 2019-11-11

Clarifai
created on 2019-11-11

Imagga
created on 2019-11-11

Google
created on 2019-11-11

Microsoft
created on 2019-11-11

Microsoft
created on 2019-11-11

Age	44-62
Gender	Male, 54.9%
Confused	45%
Angry	45%
Fear	45%
Disgusted	45%
Calm	55%
Surprised	45%
Happy	45%
Sad	45%

Age	28-44
Gender	Male, 53.7%
Disgusted	45%
Calm	46.3%
Surprised	45.1%
Fear	45.1%
Angry	45.1%
Confused	45%
Sad	53.3%
Happy	45%

Age	49-67
Gender	Male, 55%
Angry	45.1%
Calm	45.9%
Surprised	45%
Fear	45.2%
Happy	45%
Confused	45%
Disgusted	45%
Sad	53.7%

Age	36-54
Gender	Male, 54.8%
Calm	46.6%
Disgusted	45.1%
Angry	46.9%
Fear	45.3%
Sad	50.5%
Confused	45.1%
Surprised	45.1%
Happy	45.4%

Age	23-37
Gender	Male, 60%
Disgusted	0.1%
Fear	37.5%
Sad	30.1%
Calm	0.9%
Angry	30.8%
Confused	0.2%
Happy	0.1%
Surprised	0.3%

Age	22-34
Gender	Male, 54.3%
Fear	45.4%
Confused	45.4%
Sad	50.3%
Happy	45.1%
Disgusted	45.2%
Calm	47.8%
Angry	45.9%
Surprised	45.1%

Age	39-57
Gender	Male, 54.2%
Angry	45.3%
Disgusted	47.4%
Confused	45.2%
Sad	50.8%
Calm	45.5%
Surprised	45.1%
Fear	45.5%
Happy	45.1%

Age	49-67
Gender	Female, 50%
Calm	50.2%
Sad	46.1%
Confused	45%
Fear	45%
Surprised	45%
Disgusted	45%
Happy	48.6%
Angry	45%

Age	32-48
Gender	Male, 51.5%
Calm	50.6%
Sad	48.6%
Angry	45.3%
Fear	45.2%
Disgusted	45%
Surprised	45%
Confused	45.1%
Happy	45.2%

Age	13-25
Gender	Female, 54.2%
Fear	45.5%
Sad	49.5%
Disgusted	45.1%
Surprised	45.1%
Happy	48.2%
Angry	45.9%
Confused	45.1%
Calm	45.6%