AI Data for Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: New York detained; men and women waiting for friends. | AI Explorer

AWS Rekognition

Age	35-52
Gender	Female, 53.3%
Surprised	45.3%
Happy	45.2%
Calm	46.9%
Angry	45.8%
Confused	45.2%
Sad	45.2%
Disgusted	51.2%

AWS Rekognition

Age	26-43
Gender	Female, 79.9%
Disgusted	2.5%
Calm	52.5%
Sad	8.3%
Confused	13.9%
Happy	13.7%
Surprised	4.5%
Angry	4.6%

AWS Rekognition

Age	26-43
Gender	Female, 80.8%
Confused	14.8%
Happy	2.3%
Calm	41.8%
Sad	18.6%
Angry	14%
Disgusted	3.8%
Surprised	4.8%

AWS Rekognition

Age	11-18
Gender	Female, 98.3%
Sad	39%
Calm	45.7%
Happy	1.1%
Disgusted	1.7%
Surprised	1.2%
Confused	2.8%
Angry	8.5%

AWS Rekognition

Age	9-14
Gender	Male, 94.9%
Confused	3.2%
Surprised	0.6%
Sad	15.9%
Calm	5.9%
Disgusted	0.6%
Angry	73.1%
Happy	0.6%

AWS Rekognition

Age	26-43
Gender	Male, 63.8%
Angry	6.6%
Disgusted	4.7%
Sad	6.7%
Calm	36.3%
Happy	19.8%
Confused	14.3%
Surprised	11.6%

AWS Rekognition

Age	35-52
Gender	Male, 99.5%
Confused	5.5%
Angry	27.4%
Sad	4.8%
Calm	19.8%
Happy	4.8%
Surprised	1.7%
Disgusted	36%

AWS Rekognition

Age	35-52
Gender	Female, 50.9%
Sad	45.9%
Confused	45.2%
Calm	52.4%
Disgusted	45.9%
Angry	45.2%
Happy	45.1%
Surprised	45.3%

AWS Rekognition

Age	11-18
Gender	Female, 54.5%
Happy	45.1%
Confused	45.1%
Surprised	45.1%
Calm	45.4%
Disgusted	45.2%
Angry	45.2%
Sad	53.9%

AWS Rekognition

Age	26-43
Gender	Male, 59.6%
Happy	0.7%
Sad	21.1%
Surprised	11.5%
Disgusted	2%
Angry	9.7%
Calm	34.3%
Confused	20.8%

AWS Rekognition

Age	35-52
Gender	Male, 54.3%
Sad	45.5%
Happy	47.5%
Disgusted	45.4%
Confused	45.5%
Calm	48.5%
Surprised	46.2%
Angry	46.4%

AWS Rekognition

Age	19-36
Gender	Male, 54%
Confused	45.6%
Angry	45.3%
Sad	45.6%
Calm	53%
Happy	45.1%
Surprised	45.2%
Disgusted	45.2%

AWS Rekognition

Age	19-36
Gender	Male, 92.7%
Calm	50%
Confused	11.5%
Sad	24.4%
Disgusted	1.9%
Happy	0.8%
Angry	6.4%
Surprised	5%

AWS Rekognition

Age	12-22
Gender	Female, 98.9%
Confused	3.3%
Disgusted	3.5%
Happy	1.2%
Sad	49.4%
Angry	5.8%
Calm	34.8%
Surprised	2%

AWS Rekognition

Age	35-52
Gender	Male, 54.5%
Surprised	45.1%
Calm	49.1%
Disgusted	45.6%
Confused	45.4%
Sad	49.3%
Angry	45.4%
Happy	45.2%

AWS Rekognition

Age	30-47
Gender	Male, 53.3%
Confused	45.5%
Angry	47.5%
Sad	47.5%
Calm	45.7%
Happy	45.2%
Surprised	45.3%
Disgusted	48.4%

AWS Rekognition

Age	26-44
Gender	Male, 53.6%
Calm	49.4%
Happy	45.7%
Sad	46.3%
Angry	46.1%
Surprised	45.3%
Disgusted	47%
Confused	45.3%

AWS Rekognition

Age	29-45
Gender	Female, 53.3%
Confused	45.1%
Surprised	45.1%
Sad	52.2%
Calm	45.2%
Disgusted	46.8%
Angry	45.4%
Happy	45.1%

AWS Rekognition

Age	14-25
Gender	Female, 98.5%
Confused	4.1%
Sad	79.2%
Surprised	0.8%
Disgusted	3.3%
Calm	4.7%
Angry	3.1%
Happy	4.7%

AWS Rekognition

Age	38-59
Gender	Male, 52.1%
Confused	45.4%
Sad	46.9%
Surprised	45.7%
Happy	46.1%
Disgusted	46.5%
Angry	46.3%
Calm	48.1%

AWS Rekognition

Age	38-59
Gender	Male, 88.3%
Confused	5.8%
Sad	31.9%
Surprised	3.3%
Disgusted	4.9%
Happy	21.5%
Calm	25.6%
Angry	7.1%

AWS Rekognition

Age	35-52
Gender	Female, 53.1%
Disgusted	48.3%
Calm	47.4%
Happy	45.3%
Surprised	45.3%
Confused	45.4%
Angry	47.5%
Sad	45.9%

AWS Rekognition

Age	26-43
Gender	Male, 51.9%
Surprised	45.3%
Confused	45.4%
Happy	45.2%
Angry	45.5%
Calm	49.4%
Disgusted	45.1%
Sad	49%

AWS Rekognition

Age	26-43
Gender	Male, 84.8%
Angry	2.7%
Disgusted	2%
Happy	1.6%
Sad	11.2%
Surprised	0.9%
Confused	2.5%
Calm	79.2%

AWS Rekognition

Age	27-44
Gender	Female, 50.4%
Surprised	45.1%
Calm	45.2%
Sad	53.3%
Disgusted	45.9%
Angry	45.3%
Happy	45.1%
Confused	45.1%

AWS Rekognition

Age	35-55
Gender	Female, 51.8%
Confused	45.1%
Angry	45.2%
Sad	45.7%
Calm	53.3%
Happy	45.1%
Surprised	45.1%
Disgusted	45.5%

AWS Rekognition

Age	26-43
Gender	Male, 52.3%
Angry	45.3%
Disgusted	45.5%
Confused	45.3%
Surprised	45.3%
Calm	52.3%
Sad	45.5%
Happy	45.8%

AWS Rekognition

Age	26-43
Gender	Male, 88.1%
Confused	1.7%
Disgusted	14.9%
Happy	0.6%
Sad	42%
Angry	19.2%
Calm	20.6%
Surprised	0.8%

AWS Rekognition

Age	26-43
Gender	Female, 51.7%
Happy	8.1%
Disgusted	1%
Confused	5.1%
Sad	3.2%
Surprised	1.3%
Angry	2.7%
Calm	78.6%

AWS Rekognition

Age	26-43
Gender	Female, 53.6%
Angry	45.6%
Disgusted	45.6%
Confused	46.3%
Surprised	45.3%
Calm	48.4%
Sad	48.5%
Happy	45.3%

AWS Rekognition

Age	20-38
Gender	Female, 54.3%
Confused	45.4%
Happy	46%
Surprised	45.2%
Sad	45.6%
Angry	45.5%
Calm	52.2%
Disgusted	45.1%

AWS Rekognition

Age	35-52
Gender	Female, 72.5%
Angry	3.6%
Happy	4%
Calm	28.3%
Disgusted	2%
Confused	2.4%
Sad	58.2%
Surprised	1.5%

AWS Rekognition

Age	20-38
Gender	Male, 54.2%
Angry	46.8%
Disgusted	48.8%
Confused	45.5%
Surprised	45.3%
Calm	47%
Sad	46.2%
Happy	45.3%

AWS Rekognition

Age	16-27
Gender	Female, 52.7%
Confused	45.5%
Surprised	46%
Calm	49.8%
Sad	45.3%
Angry	46.3%
Happy	45.7%
Disgusted	46.5%

AWS Rekognition

Age	14-23
Gender	Male, 51.4%
Angry	47.7%
Sad	46.7%
Calm	45.8%
Happy	46.6%
Surprised	45.8%
Disgusted	46.5%
Confused	45.9%

AWS Rekognition

Age	26-43
Gender	Male, 94.8%
Disgusted	35.8%
Angry	6.6%
Sad	26.8%
Calm	15.9%
Happy	9.5%
Surprised	2.4%
Confused	3.1%

AWS Rekognition

Age	20-38
Gender	Female, 52.9%
Confused	45.2%
Sad	49.9%
Surprised	45.4%
Disgusted	45.7%
Happy	45.7%
Calm	45.6%
Angry	47.5%

AWS Rekognition

Age	20-38
Gender	Male, 54.2%
Confused	46.3%
Sad	47.4%
Disgusted	45.6%
Angry	45.8%
Surprised	45.9%
Happy	45.9%
Calm	48.1%

AWS Rekognition

Age	26-43
Gender	Male, 54.4%
Angry	46.4%
Surprised	45.5%
Confused	46.1%
Sad	47.6%
Calm	48.6%
Disgusted	45.4%
Happy	45.5%

Microsoft Cognitive Services

Age	56
Gender	Male

Microsoft Cognitive Services

Age	57
Gender	Female

Microsoft Cognitive Services

Age	56
Gender	Male

Microsoft Cognitive Services

Age	32
Gender	Male

Microsoft Cognitive Services

Age	50
Gender	Male

Microsoft Cognitive Services

Age	40
Gender	Female

Microsoft Cognitive Services

Age	42
Gender	Female

Microsoft Cognitive Services

Age	46
Gender	Male

Microsoft Cognitive Services

Age	28
Gender	Female

Microsoft Cognitive Services

Age	31
Gender	Female

Microsoft Cognitive Services

Age	26
Gender	Female

Microsoft Cognitive Services

Age	44
Gender	Male

Microsoft Cognitive Services

Age	27
Gender	Male

Microsoft Cognitive Services

Age	11
Gender	Female

Microsoft Cognitive Services

Age	36
Gender	Female

Microsoft Cognitive Services

Age	36
Gender	Female

Microsoft Cognitive Services

Age	37
Gender	Female

Microsoft Cognitive Services

Age	44
Gender	Male

Microsoft Cognitive Services

Age	41
Gender	Male

Microsoft Cognitive Services

Age	38
Gender	Male

Microsoft Cognitive Services

Age	55
Gender	Male

Microsoft Cognitive Services

Age	44
Gender	Male

Microsoft Cognitive Services

Age	9
Gender	Female

Microsoft Cognitive Services

Age	19
Gender	Female

Microsoft Cognitive Services

Age	43
Gender	Male

Microsoft Cognitive Services

Age	31
Gender	Male

Microsoft Cognitive Services

Age	36
Gender	Female

Microsoft Cognitive Services

Age	27
Gender	Female

Microsoft Cognitive Services

Age	12
Gender	Male

Microsoft Cognitive Services

Age	33
Gender	Male

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	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 likely
Blurred	Likely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Possible
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	Likely
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	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	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

Title Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: New York detained; men and women waiting for friends.	Date c. 1903
People Artist: J. H. Adams, American active 1900s	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2392.1

Human	99

Person	99

Person	98.9

Person	98.4

Person	98.3

Person	98

Person	97.5

Audience	96.7

Crowd	96.7

Person	96.3

Person	96

Person	95.5

Person	95

Person	94.4

Painting	88.8

Art	88.8

Person	88.5

Person	88.3

Person	85.9

Person	80.5

Person	78.9

Indoors	76

People	75.5

Room	75.4

Person	70.6

Person	68.1

Person	66.4

Person	63.6

Sitting	60.3

people	100

group	99.8

many	99.7

adult	98.7

woman	96.3

group together	95.7

leader	95.3

administration	93.5

wear	93.4

man	93.2

music	90.5

several	89.5

furniture	88.5

military	87.9

sit	87.8

crowd	87.3

recreation	86.3

vehicle	83.9

chair	81.5

outfit	80.5

celebration	18.3

interior	16.8

decoration	16.1

glass	15.3

metropolitan	13.6

light	13.4

party	12.9

luxury	12.8

elegant	12.8

man	12.8

table	12.2

old	11.8

religion	11.6

crown	11.6

chair	11.6

carousel	11.5

night	11.5

window	11.4

art	11.4

people	11.1

vintage	10.9

city	10.8

chandelier	10.8

antique	10.5

home	10.4

holiday	10

dress	9.9

male	9.9

romantic	9.8

person	9.7

portrait	9.7

room	9.7

musical instrument	9.7

restaurant	9.5

menorah	9.4

architecture	9.4

dark	9.2

design	9

romance	8.9

style	8.9

love	8.7

building	8.7

men	8.6

house	8.5

ride	8.5

church	8.3

traditional	8.3

tradition	8.3

fashion	8.3

wedding	8.3

couple	7.8

life	7.8

flowers	7.8

color	7.8

pretty	7.7

winter	7.7

god	7.6

stringed instrument	7.6

two	7.6

marriage	7.6

candelabrum	7.6

place	7.4

event	7.4

retro	7.4

girls	7.3

lifestyle	7.2

history	7.1

women	7.1

crown jewels	7.1

travel	7

human behavior	58.8

vintage clothing	52.2

recreation	50.4

crowd	50.1

person	99.6

outdoor	87.6

old	83.6

group	83.2

people	81.2

white	66.2

clothes	24.6

crowd	1.9

a vintage photo of a group of people sitting in chairs	94.5%

a group of people sitting in front of a crowd	93.9%

a group of people sitting on a horse	93.8%

Human Generated Data

Title

Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: New York detained; men and women waiting for friends.

Date

c. 1903

People

Artist: J. H. Adams, American active 1900s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2392.1

Human Generated Data

Title

Races, Immigration: United States. New York. New York City. Immigrant Station: Regulation of Immigration at the Port of Entry. United States Immigrant Station, New York City: New York detained; men and women waiting for friends.

People

Artist: J. H. Adams, American active 1900s

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2392.1

Machine Generated Data

Tags

Amazoncreated on 2019-04-01

Clarifaicreated on 2018-04-18

Imaggacreated on 2018-04-18

Googlecreated on 2018-04-18

Microsoftcreated on 2018-04-18

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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AWS Rekognition

AWS Rekognition

AWS Rekognition

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AWS Rekognition

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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

Microsoft Cognitive Services

Microsoft Cognitive Services

Amazon
created on 2019-04-01

Clarifai
created on 2018-04-18

Imagga
created on 2018-04-18

Google
created on 2018-04-18

Microsoft
created on 2018-04-18

Microsoft
created on 2018-04-18