AI Data for Untitled (buying war stamps and bonds) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	20-32
Gender	Male, 53.3%
Happy	86.5%
Calm	8.9%
Sad	3.8%
Angry	0.3%
Confused	0.2%
Surprised	0.1%
Fear	0.1%
Disgusted	0%

AWS Rekognition

Age	36-54
Gender	Female, 56.6%
Calm	71.4%
Happy	23.7%
Sad	2.3%
Angry	1.1%
Confused	0.7%
Surprised	0.7%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	34-50
Gender	Male, 86.4%
Calm	72.6%
Happy	11.8%
Surprised	7.1%
Sad	3%
Confused	2.2%
Angry	2.2%
Fear	0.7%
Disgusted	0.4%

AWS Rekognition

Age	23-35
Gender	Female, 93.4%
Happy	89.6%
Calm	5.1%
Sad	4%
Angry	0.5%
Fear	0.3%
Surprised	0.2%
Confused	0.2%
Disgusted	0.1%

AWS Rekognition

Age	38-56
Gender	Male, 79.8%
Happy	78.1%
Sad	10.7%
Calm	9.9%
Confused	0.4%
Angry	0.4%
Surprised	0.2%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	40-58
Gender	Male, 93.8%
Calm	77.6%
Happy	14.5%
Sad	4.9%
Angry	2%
Fear	0.3%
Confused	0.3%
Surprised	0.2%
Disgusted	0.2%

AWS Rekognition

Age	4-14
Gender	Female, 78.2%
Sad	92.5%
Calm	2.5%
Fear	1.9%
Happy	1.7%
Angry	0.4%
Confused	0.4%
Disgusted	0.3%
Surprised	0.2%

AWS Rekognition

Age	22-34
Gender	Female, 56.8%
Calm	53.3%
Happy	35.2%
Sad	3.9%
Confused	3.1%
Surprised	2.9%
Fear	0.5%
Angry	0.5%
Disgusted	0.4%

AWS Rekognition

Age	47-65
Gender	Male, 69.4%
Sad	62.7%
Calm	23.4%
Happy	6.6%
Angry	3.4%
Confused	1.7%
Fear	1.4%
Surprised	0.5%
Disgusted	0.3%

AWS Rekognition

Age	21-33
Gender	Female, 68.6%
Happy	52.2%
Sad	23.8%
Calm	18%
Angry	1.8%
Confused	1.7%
Surprised	1.2%
Fear	1.1%
Disgusted	0.2%

AWS Rekognition

Age	27-43
Gender	Female, 63.4%
Happy	97.7%
Calm	1.1%
Surprised	0.4%
Sad	0.3%
Angry	0.3%
Fear	0.1%
Confused	0.1%
Disgusted	0.1%

AWS Rekognition

Age	45-63
Gender	Female, 54.7%
Happy	50.7%
Calm	33.2%
Sad	11%
Confused	2.3%
Surprised	1.3%
Angry	0.7%
Fear	0.6%
Disgusted	0.2%

AWS Rekognition

Age	22-34
Gender	Male, 89.8%
Happy	74.4%
Calm	19.5%
Sad	2.2%
Confused	1.9%
Angry	1.5%
Surprised	0.3%
Disgusted	0.2%
Fear	0.1%

AWS Rekognition

Age	23-35
Gender	Male, 59.1%
Happy	89.5%
Calm	8.2%
Surprised	1.6%
Angry	0.3%
Confused	0.2%
Sad	0.1%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	12-22
Gender	Male, 83.9%
Calm	86.5%
Confused	8.5%
Happy	2%
Sad	1.6%
Surprised	0.6%
Disgusted	0.6%
Angry	0.2%
Fear	0.1%

AWS Rekognition

Age	31-47
Gender	Male, 78.8%
Happy	42.7%
Calm	29.7%
Sad	17.4%
Surprised	4.8%
Confused	3.7%
Angry	1.1%
Fear	0.4%
Disgusted	0.3%

AWS Rekognition

Age	26-42
Gender	Female, 67%
Happy	59.1%
Sad	28.9%
Calm	10%
Fear	1.1%
Angry	0.4%
Surprised	0.3%
Confused	0.2%
Disgusted	0.1%

AWS Rekognition

Age	27-43
Gender	Female, 64.6%
Sad	89.4%
Calm	3.7%
Fear	2%
Angry	1.7%
Confused	1.1%
Happy	1.1%
Surprised	0.6%
Disgusted	0.5%

AWS Rekognition

Age	23-35
Gender	Female, 85.4%
Happy	83.7%
Calm	5.4%
Sad	4.5%
Surprised	2.5%
Fear	1.6%
Angry	1.2%
Confused	0.6%
Disgusted	0.5%

AWS Rekognition

Age	43-61
Gender	Female, 63.3%
Happy	93.3%
Calm	5.6%
Sad	0.5%
Surprised	0.3%
Angry	0.1%
Fear	0.1%
Confused	0.1%
Disgusted	0%

AWS Rekognition

Age	24-38
Gender	Female, 78.6%
Happy	68.4%
Calm	27.4%
Sad	1.6%
Angry	1.4%
Confused	0.3%
Surprised	0.3%
Fear	0.3%
Disgusted	0.2%

AWS Rekognition

Age	22-34
Gender	Male, 72.4%
Calm	74%
Sad	16.6%
Happy	5.2%
Confused	1.7%
Angry	1.1%
Surprised	0.9%
Fear	0.3%
Disgusted	0.2%

AWS Rekognition

Age	22-34
Gender	Female, 81.5%
Happy	96%
Calm	2.3%
Sad	1%
Confused	0.2%
Angry	0.2%
Surprised	0.2%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	50-68
Gender	Male, 91.1%
Calm	94.5%
Sad	2.5%
Happy	2%
Confused	0.3%
Surprised	0.2%
Fear	0.2%
Angry	0.2%
Disgusted	0.1%

AWS Rekognition

Age	23-37
Gender	Female, 95.9%
Sad	59.6%
Calm	32.5%
Happy	6.7%
Confused	0.9%
Angry	0.2%
Surprised	0.1%
Fear	0.1%
Disgusted	0%

AWS Rekognition

Age	30-46
Gender	Male, 85.8%
Happy	38.7%
Sad	31.2%
Calm	11.9%
Confused	7.3%
Disgusted	4%
Fear	3.3%
Surprised	2.5%
Angry	1.1%

AWS Rekognition

Age	23-37
Gender	Male, 51.2%
Calm	49.3%
Sad	24.3%
Angry	14.6%
Happy	5.9%
Confused	3.7%
Disgusted	1.5%
Fear	0.3%
Surprised	0.3%

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	Very unlikely

Google Vision

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

Google Vision

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

Google Vision

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

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	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 likely

Google Vision

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

Feature analysis

Amazon

Person	99.6%

Captions

Microsoft
created on 2021-12-14

a group of people standing in a room	96.8%

a group of people standing in front of a crowd	90.5%

a group of people standing in front of a store	88.4%

Text analysis

Amazon

GOAL

OUR

WAR

OUR GOAL FOR JULY

FOR

JULY

STAMPS

WAR STAMPS BONDS

TOP

BONDS

10.000.

THE

HIEEP us NII THE TOP -

NII

HIEEP

Google

TUU TOT CELMES 10,000, OUR COAL FOR JULY WAR STAMPS BONDSe

TUU

TOT

CELMES

10,000,

OUR

COAL

FOR

JULY

WAR

STAMPS

BONDSe

Title Untitled (buying war stamps and bonds)	Date 1940s
People Artist: John Deusing, American active 1940s	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1769

Person	99.6

Human	99.6

Person	99.6

Person	99.6

Person	99.4

Person	99.4

Person	99.2

Person	99

Person	98.6

Person	98.4

Person	97.5

Person	97.4

Apparel	97.3

Clothing	97.3

Person	96.7

Person	93

Clinic	80.6

People	75.6

Suit	68.3

Overcoat	68.3

Coat	68.3

Person	67.1

Robe	62.8

Fashion	62.8

Female	60

Shop	59.6

Person	58.1

Gown	57.1

Wedding	56.3

Dress	56.2

Person	55.7

Person	49.7

Person	47.9

people	99.9

group	99

many	98.8

group together	97.8

child	95

adult	94.8

woman	94.4

room	93.5

crowd	92.8

man	91.6

indoors	86.3

several	86.2

administration	86.1

outfit	85.3

recreation	85.2

monochrome	84.6

leader	84.4

boy	82.7

wear	80.5

wait	78.4

boutique	35.5

shop	35.3

barbershop	30.5

mercantile establishment	24.1

case	23.6

business	20.6

people	20.6

window	19.5

building	18.2

architecture	16.4

place of business	16.2

interior	15.9

table	14.7

light	14.7

office	14.5

structure	14.4

man	13.4

city	13.3

chair	13.2

urban	13.1

modern	12.6

house	12.5

design	11.8

restaurant	11.7

glass	11.7

group	11.3

men	11.2

counter	11

room	11

3d	10.8

transportation	10.7

travel	10.6

indoors	10.5

indoor	10

night	9.8

lamp	9.5

furniture	9.5

render	9.5

women	9.5

work	9.4

cafeteria	9.4

floor	9.3

hall	9.2

silhouette	9.1

technology	8.9

working	8.8

station	8.8

life	8.7

crowd	8.6

corporate	8.6

art	8.6

blur	8.4

wood	8.3

inside	8.3

passenger	8.3

occupation	8.2

establishment	8

decor	7.9

businessman	7.9

black	7.9

public	7.8

television	7.7

luxury	7.7

motion	7.7

person	7.6

place	7.4

speed	7.3

digital	7.3

adult	7.2

information	7.1

Black-and-white	84.6

Style	83.8

Monochrome photography	75.7

Monochrome	75.7

Rectangle	74.2

Suit	73.1

Event	72.8

Vintage clothing	69

Room	65.6

History	65.2

Font	65.2

Art	63.6

Formal wear	61.6

Electricity	58.5

Uniform	57.6

Classic	57

text	99.4

person	98.7

clothing	97.6

man	94.6

standing	92.2

indoor	88.4

group	82.9

ceiling	79

people	73.7

posing	35.7

line	20

several	13.8

streetview architecture	85.6%

interior objects	11.7%

text visuals	2%

Human Generated Data

Title

Untitled (buying war stamps and bonds)

Date

1940s

People

Artist: John Deusing, American active 1940s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1769

Human Generated Data

Title

Untitled (buying war stamps and bonds)

People

Artist: John Deusing, American active 1940s

Date

1940s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1769

Machine Generated Data

Tags

Amazoncreated on 2021-12-14

Clarifaicreated on 2023-10-15

Imaggacreated on 2021-12-14

Googlecreated on 2021-12-14

Microsoftcreated on 2021-12-14

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

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

Google Vision

Google Vision

Google Vision

Amazon
created on 2021-12-14

Clarifai
created on 2023-10-15

Imagga
created on 2021-12-14

Google
created on 2021-12-14

Microsoft
created on 2021-12-14

Microsoft
created on 2021-12-14