AI Data for Untitled (people eating and drinking on a small boat) | AI Explorer

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Human Generated Data

Title Untitled (people eating and drinking on a small boat)	Date 1963
People Artist: Joseph Janney Steinmetz, American 1905 - 1985	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.8109	Copyright © Estate of Joseph Janney Steinmetz

Human Generated Data

Title

Untitled (people eating and drinking on a small boat)

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Date

1963

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.8109

Copyright

© Estate of Joseph Janney Steinmetz

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	43-51
Gender	Female, 98.4%
Happy	99.7%
Surprised	0.1%
Calm	0%
Disgusted	0%
Fear	0%
Angry	0%
Confused	0%
Sad	0%

Feature analysis

Amazon

Person

Boat

Sunglasses

Person	99.5%

Captions

Microsoft
created on 2022-03-18

a group of people on a boat in the water	93.8%

a group of people sitting on a boat in the water	90.9%

a group of people sitting in a boat on the water	90.8%

Text analysis

Amazon

49145.

Google

49145.

Person	99.5

Human	99.5

Person	99.3

Person	98.8

Person	98.6

Person	98.5

Watercraft	96.9

Vessel	96.9

Transportation	96.9

Vehicle	96.9

Boat	96.5

Person	95.2

Person	94.6

Sunglasses	93.1

Accessories	93.1

Accessory	93.1

Person	92.8

Person	91.9

Person	91.9

Person	72.8

Clothing	72.8

Apparel	72.8

Person	70.5

Person	69.9

Person	66.9

People	65.8

Sunglasses	62.5

Person	61.4

Yacht	59.1

Military	59

Dinghy	57.6

people	99.8

group together	99.7

watercraft	99.5

group	99.2

adult	98.9

vehicle	98.2

man	97.9

child	97.5

many	97.5

woman	97.4

recreation	96.7

transportation system	93.9

rowboat	93.6

several	93.3

wear	92.4

boatman	89.7

water	87.3

four	86.4

sea	84.4

fun	81.7

sea	63.8

boat	49.5

ocean	49.4

water	47.4

craft	30.2

coast	29.6

beach	28.8

travel	28.2

tray	27.7

sky	27.5

ship	27.3

shore	26.6

vessel	23.1

bay	22.9

island	22.9

receptacle	22.4

tourism	22.3

vacation	22.1

vehicle	21.7

summer	21.2

port	20.2

coastline	19.7

clouds	19.4

boats	19.4

harbor	18.3

rock	18.2

container	17.9

fishing	17.3

landscape	17.1

waves	16.7

tourist	16.5

sand	16.3

landing craft	15.4

lake	15.1

sunny	13.8

marina	13.7

scenery	13.5

sunset	13.5

rocks	13.2

holiday	12.9

nautical	12.6

city	12.5

conveyance	12.2

wave	12.1

landmark	11.7

leisure	11.6

yacht	11.4

scenic	11.4

building	11.2

hovercraft	11.1

amphibian	11

day	11

architecture	10.9

sailing	10.7

cruise	10.7

river	10.7

pacific	10.6

seascape	10.5

stone	10.1

pier	10

outdoor	9.9

sailboat	9.9

dock	9.7

sun	9.7

seaside	9.6

fisherman	9.2

motor vehicle	9.1

horizon	9

transportation	9

sail	8.8

surf	8.7

scene	8.7

cloud	8.6

lifeboat	8.5

sunrise	8.4

people	8.4

old	8.4

town	8.3

calm	8.2

transport	8.2

park	8.1

land	8.1

coastal	7.8

houses	7.7

shoreline	7.7

relax	7.6

outdoors	7.6

silhouette	7.5

famous	7.4

peaceful	7.3

recreation	7.2

archipelago	7.1

romantic	7.1

sunlight	7.1

Water	97.2

Boat	95.7

Vehicle	93

White	92.2

Watercraft	92

Naval architecture	91.3

Boats and boating--Equipment and supplies	91.2

Black	89.6

Black-and-white	87.1

Sky	85

Lake	84.7

Style	84.1

Tree	79

Monochrome	78.5

Waterway	77.1

Monochrome photography	77.1

Crew	75.5

Leisure	74.1

Recreation	73.1

Skiff	73

sky	99.3

ship	98.7

watercraft	98.1

outdoor	96.2

water	96

boat	92

vehicle	72.1

lake	70.4

person	67.2

black and white	56

fishing	54.7

Age	25-35
Gender	Male, 92.2%
Calm	49.9%
Sad	15.2%
Happy	12.4%
Confused	8.4%
Fear	4.7%
Surprised	4.6%
Disgusted	2.5%
Angry	2.4%

Age	51-59
Gender	Male, 100%
Disgusted	35.6%
Calm	28.5%
Confused	17.6%
Happy	11.9%
Sad	3.4%
Surprised	1.5%
Angry	1%
Fear	0.5%

Age	26-36
Gender	Male, 66.1%
Disgusted	65.6%
Sad	19.6%
Angry	3.7%
Happy	3.7%
Calm	3.5%
Confused	2.3%
Surprised	1.1%
Fear	0.5%

Age	36-44
Gender	Female, 73.4%
Happy	81.6%
Calm	8.4%
Surprised	3.5%
Sad	3.1%
Disgusted	1.1%
Fear	0.9%
Confused	0.8%
Angry	0.6%

Age	40-48
Gender	Male, 99.8%
Happy	99.6%
Sad	0.1%
Surprised	0.1%
Fear	0.1%
Disgusted	0%
Confused	0%
Angry	0%
Calm	0%

Age	37-45
Gender	Female, 57%
Sad	75.6%
Happy	21.4%
Calm	1.5%
Confused	0.5%
Angry	0.4%
Disgusted	0.4%
Fear	0.2%
Surprised	0.1%

Age	6-12
Gender	Male, 81.5%
Calm	59.9%
Happy	23.1%
Sad	13.9%
Confused	1%
Surprised	0.8%
Angry	0.5%
Fear	0.5%
Disgusted	0.3%

Age	35-43
Gender	Female, 94%
Happy	98.1%
Sad	0.5%
Disgusted	0.4%
Confused	0.4%
Surprised	0.3%
Angry	0.2%
Fear	0.1%
Calm	0.1%

Age	43-51
Gender	Male, 98.5%
Surprised	35%
Calm	34.4%
Happy	18.2%
Fear	5.9%
Confused	2.2%
Sad	2.1%
Angry	1.4%
Disgusted	0.8%

Age	23-33
Gender	Male, 72.4%
Sad	41.4%
Calm	40.5%
Disgusted	8.3%
Angry	3.6%
Confused	1.8%
Surprised	1.7%
Happy	1.5%
Fear	1.3%

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

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

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

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

Age	19-27
Gender	Female, 99.9%
Happy	90.6%
Sad	3.9%
Confused	1.5%
Angry	1.4%
Surprised	0.8%
Disgusted	0.8%
Calm	0.7%
Fear	0.3%

Age	22-30
Gender	Female, 51.5%
Sad	92.5%
Happy	5.4%
Disgusted	0.7%
Confused	0.6%
Fear	0.3%
Angry	0.2%
Calm	0.2%
Surprised	0.2%

Age	50-58
Gender	Male, 99.8%
Calm	97%
Sad	1.2%
Confused	0.9%
Fear	0.3%
Disgusted	0.2%
Angry	0.2%
Happy	0.1%
Surprised	0.1%

Age	25-35
Gender	Male, 97.5%
Calm	89.6%
Sad	5.8%
Angry	1.6%
Surprised	1.1%
Happy	0.6%
Fear	0.5%
Disgusted	0.4%
Confused	0.3%

Age	38-46
Gender	Male, 84.3%
Calm	99.7%
Sad	0.1%
Angry	0.1%
Surprised	0%
Disgusted	0%
Confused	0%
Happy	0%
Fear	0%

Age	30-40
Gender	Female, 97.6%
Calm	74.4%
Surprised	11.6%
Happy	5.4%
Sad	2.5%
Angry	2.2%
Fear	1.9%
Disgusted	1.4%
Confused	0.6%

Age	36-44
Gender	Male, 90.8%
Calm	44.3%
Happy	30.3%
Sad	11%
Confused	8.9%
Disgusted	1.8%
Fear	1.4%
Surprised	1.3%
Angry	1%

Age	19-27
Gender	Male, 61.6%
Calm	97.8%
Happy	1.7%
Sad	0.2%
Disgusted	0.1%
Confused	0.1%
Angry	0.1%
Fear	0%
Surprised	0%

nature landscape	34.3%

streetview architecture	16.4%

paintings art	15.4%

beaches seaside	15.3%

interior objects	5.8%

food drinks	5.8%

cars vehicles	3.8%

events parties	1%

Human Generated Data

Title

Untitled (people eating and drinking on a small boat)

Date

1963

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.8109

Copyright

© Estate of Joseph Janney Steinmetz

Human Generated Data

Title

Untitled (people eating and drinking on a small boat)

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Date

1963

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.8109

Copyright

© Estate of Joseph Janney Steinmetz

Machine Generated Data

Tags

Amazoncreated on 2022-03-18

Clarifaicreated on 2025-01-10

Imaggacreated on 2022-03-18

Googlecreated on 2022-03-18

Microsoftcreated on 2022-03-18

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

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

Microsoftcreated on 2022-03-18

Text analysis

Amazon

Amazon
created on 2022-03-18

Clarifai
created on 2025-01-10

Imagga
created on 2022-03-18

Google
created on 2022-03-18

Microsoft
created on 2022-03-18

Microsoft
created on 2022-03-18