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

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	30-46
Gender	Male, 51.2%
Calm	79.8%
Happy	9.7%
Sad	3.7%
Surprised	3.1%
Angry	1.6%
Fear	1%
Confused	0.8%
Disgusted	0.2%

AWS Rekognition

Age	23-35
Gender	Female, 84.7%
Calm	87%
Happy	8.1%
Surprised	2.7%
Sad	0.9%
Fear	0.5%
Angry	0.4%
Confused	0.3%
Disgusted	0.1%

AWS Rekognition

Age	32-48
Gender	Female, 76%
Calm	60.4%
Happy	30.8%
Sad	3.6%
Surprised	3.3%
Confused	1.3%
Disgusted	0.3%
Fear	0.2%
Angry	0.2%

AWS Rekognition

Age	26-40
Gender	Male, 76.1%
Calm	52.4%
Sad	41.1%
Happy	3.3%
Confused	1.4%
Surprised	0.8%
Angry	0.6%
Fear	0.3%
Disgusted	0.2%

AWS Rekognition

Age	19-31
Gender	Female, 85.6%
Happy	73.4%
Calm	23.1%
Sad	2.9%
Confused	0.2%
Angry	0.2%
Surprised	0.1%
Fear	0.1%
Disgusted	0%

AWS Rekognition

Age	22-34
Gender	Male, 75%
Happy	66.1%
Calm	15.9%
Sad	10.4%
Confused	3.5%
Fear	1.5%
Angry	1.2%
Surprised	1%
Disgusted	0.4%

AWS Rekognition

Age	23-37
Gender	Female, 52.2%
Happy	60.3%
Sad	27.6%
Calm	7.5%
Confused	1.2%
Angry	1.1%
Fear	1.1%
Surprised	1%
Disgusted	0.3%

AWS Rekognition

Age	27-43
Gender	Female, 58.1%
Sad	48.5%
Happy	34.8%
Calm	10%
Angry	5.5%
Fear	0.6%
Confused	0.3%
Disgusted	0.2%
Surprised	0.2%

AWS Rekognition

Age	23-37
Gender	Female, 80%
Happy	84.5%
Sad	7.7%
Calm	5.9%
Fear	0.6%
Surprised	0.5%
Angry	0.5%
Confused	0.2%
Disgusted	0.1%

AWS Rekognition

Age	22-34
Gender	Female, 87.7%
Happy	69.8%
Sad	16%
Calm	9.1%
Confused	1.6%
Angry	1.6%
Surprised	1.3%
Fear	0.4%
Disgusted	0.3%

AWS Rekognition

Age	26-40
Gender	Male, 86.9%
Calm	60.4%
Happy	31.1%
Sad	3.7%
Angry	3.2%
Confused	0.7%
Disgusted	0.4%
Surprised	0.3%
Fear	0.2%

AWS Rekognition

Age	48-66
Gender	Male, 56.6%
Calm	72.2%
Sad	17.4%
Happy	8.6%
Confused	1.1%
Angry	0.3%
Surprised	0.1%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	24-38
Gender	Female, 65.5%
Calm	73.1%
Happy	20.6%
Sad	3.3%
Surprised	1.6%
Confused	0.7%
Angry	0.4%
Disgusted	0.2%
Fear	0.2%

AWS Rekognition

Age	22-34
Gender	Female, 97%
Happy	67.7%
Calm	24.6%
Surprised	3%
Sad	2.9%
Fear	0.7%
Confused	0.6%
Angry	0.3%
Disgusted	0.2%

AWS Rekognition

Age	23-35
Gender	Female, 79.4%
Happy	97.7%
Sad	1.4%
Calm	0.7%
Fear	0.1%
Surprised	0%
Confused	0%
Angry	0%
Disgusted	0%

AWS Rekognition

Age	36-54
Gender	Female, 53.2%
Calm	58.2%
Happy	26.5%
Sad	11.1%
Angry	1.8%
Confused	1.7%
Surprised	0.3%
Disgusted	0.2%
Fear	0.2%

AWS Rekognition

Age	42-60
Gender	Male, 67.6%
Sad	44.1%
Calm	33.4%
Happy	21%
Confused	0.5%
Angry	0.4%
Fear	0.2%
Surprised	0.2%
Disgusted	0.1%

AWS Rekognition

Age	23-37
Gender	Female, 87.5%
Happy	58.2%
Calm	38%
Sad	3%
Surprised	0.2%
Fear	0.2%
Confused	0.1%
Angry	0.1%
Disgusted	0.1%

AWS Rekognition

Age	22-34
Gender	Female, 50.7%
Calm	71.9%
Sad	13.5%
Happy	12.5%
Angry	1%
Fear	0.3%
Confused	0.3%
Surprised	0.3%
Disgusted	0.1%

AWS Rekognition

Age	0-4
Gender	Female, 93.5%
Sad	71.4%
Calm	17.4%
Happy	6.6%
Confused	1.5%
Fear	1.4%
Surprised	0.7%
Angry	0.7%
Disgusted	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	Possible

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	Likely

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	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	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	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	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	Likely

Feature analysis

Amazon

Person	99.8%

Captions

Microsoft
created on 2021-12-14

a group of people standing in a room	97%

a group of people posing for a photo	92.3%

a group of people standing in a room posing for a photo	92.2%

Text analysis

Amazon

OUR

WAR

GOAL

OUR GOAL FOR JULY

FOR

JULY

THE

10,000.

HIT

TOP

KEEP us HIT THE TOP

WAR STAMPS BONDS

STAMPS BONDS

KEEP

Google

10,000. OUR COAL FOR JULY WAR STAMPS BONDS *

10,000.

OUR

COAL

FOR

JULY

WAR

STAMPS

BONDS

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, 4.2002.1768

Person	99.8

Human	99.8

Person	99.6

Person	99.6

Person	99.4

Person	99.4

Person	99.4

Person	99.4

Person	98.9

Person	98.8

Person	98.8

Person	98.8

Person	98.6

Person	98.1

Clothing	96.4

Apparel	96.4

Clinic	87.5

Person	85

Shorts	78.8

People	73.2

Female	69.1

Suit	67.2

Overcoat	67.2

Coat	67.2

Hospital	57.4

Operating Theatre	56

Woman	55.6

Person	52

people	99.9

group	99

child	97.2

group together	97.1

many	97

woman	96.5

indoors	95.6

adult	94.6

monochrome	93

room	92.7

man	92.5

wear	88.9

crowd	88.8

musician	87.4

music	85.9

boy	85.5

outfit	84.9

leader	84.8

several	83.6

recreation	82.4

boutique	52.9

people	24

building	23.2

business	23.1

restaurant	22.5

window	20.9

interior	20.3

counter	19.5

cafeteria	19.3

shop	19.3

hall	18.3

urban	17.5

architecture	17.2

case	17

light	16.7

table	16.4

crowd	16.3

structure	16.1

chair	15.1

city	15

office	14.8

man	14.8

modern	14.7

silhouette	14.1

indoors	14

room	13.3

glass	13.2

men	12.9

indoor	12.8

design	12.4

group	12.1

women	11.9

floor	11.2

occupation	11

work	11

house	10.9

party	10.3

center	10.3

shopping	10.1

person	9.9

transportation	9.9

travel	9.9

decor	9.7

furniture	9.5

luxury	9.4

motion	9.4

mercantile establishment	9.3

life	9.3

place	9.3

inside	9.2

station	9.1

businessman	8.8

mall	8.8

corporate	8.6

3d	8.5

buy	8.5

businesswoman	8.2

activity	8.1

night	8

working	8

adult	7.9

male	7.8

public	7.8

empty	7.7

lamp	7.6

dining	7.6

retail	7.6

walking	7.6

store	7.6

elegance	7.6

wood	7.5

human	7.5

blur	7.4

lights	7.4

speed	7.3

stylish	7.2

passenger	7.2

Dress	90.5

Coat	89.5

Black-and-white	84.7

Style	83.8

Suit	78.6

Monochrome	75.6

Monochrome photography	75.6

Event	73.6

Vintage clothing	68.9

Room	67.2

Rectangle	65.8

Window	65.7

History	64.9

Chair	64.4

Uniform	60.5

Formal wear	60.4

Art	57.5

Font	56.9

text	99.4

clothing	97

indoor	93.8

standing	93.3

person	91.3

man	82.4

posing	81.1

group	76.1

ceiling	75.3

woman	64.5

people	58.4

clothes	15.6

streetview architecture	64.1%

interior objects	19.6%

text visuals	14.9%

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, 4.2002.1768

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, 4.2002.1768

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

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2021-12-14

Text analysis

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