AI Data for Untitled (group portrait of nurses with man in suit sitting in middle) | AI Explorer

AWS Rekognition

Age	30-40
Gender	Male, 99.9%
Happy	52.3%
Calm	19.4%
Sad	15.4%
Disgusted	5.2%
Angry	3%
Confused	2.5%
Fear	1.5%
Surprised	0.8%

AWS Rekognition

Age	20-28
Gender	Male, 85.7%
Calm	84.7%
Sad	11.8%
Happy	2.3%
Confused	0.6%
Disgusted	0.2%
Angry	0.1%
Surprised	0.1%
Fear	0.1%

AWS Rekognition

Age	22-30
Gender	Male, 83%
Angry	33.2%
Sad	25.9%
Calm	20%
Happy	8.5%
Confused	4.5%
Disgusted	3.3%
Surprised	2.6%
Fear	2%

AWS Rekognition

Age	24-34
Gender	Male, 91.8%
Calm	90.9%
Happy	4.3%
Sad	2.1%
Confused	1.5%
Angry	0.5%
Disgusted	0.4%
Surprised	0.2%
Fear	0.1%

AWS Rekognition

Age	37-45
Gender	Female, 88.7%
Calm	99.7%
Sad	0.1%
Confused	0%
Disgusted	0%
Surprised	0%
Happy	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	42-50
Gender	Male, 86.2%
Happy	56.4%
Calm	26.6%
Surprised	6.6%
Sad	5.9%
Disgusted	1.8%
Confused	1.5%
Fear	0.9%
Angry	0.4%

AWS Rekognition

Age	51-59
Gender	Female, 98.3%
Calm	70.1%
Confused	18.1%
Sad	4.4%
Surprised	2.5%
Happy	1.4%
Disgusted	1.3%
Angry	1.2%
Fear	0.8%

AWS Rekognition

Age	25-35
Gender	Male, 94%
Sad	79.8%
Calm	15.1%
Happy	2.4%
Surprised	0.8%
Confused	0.7%
Angry	0.4%
Disgusted	0.4%
Fear	0.4%

AWS Rekognition

Age	31-41
Gender	Female, 62.4%
Calm	62.5%
Sad	18.3%
Happy	10.4%
Confused	4.2%
Angry	2.2%
Disgusted	1%
Fear	0.8%
Surprised	0.5%

AWS Rekognition

Age	37-45
Gender	Female, 68.8%
Happy	55%
Calm	27.6%
Surprised	8.1%
Sad	3.7%
Disgusted	1.8%
Confused	1.7%
Angry	1.3%
Fear	0.7%

AWS Rekognition

Age	40-48
Gender	Female, 60.2%
Happy	97.5%
Sad	2%
Surprised	0.1%
Calm	0.1%
Angry	0.1%
Confused	0.1%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	43-51
Gender	Female, 94.5%
Happy	79.9%
Surprised	8.7%
Sad	7.7%
Calm	1.1%
Angry	1.1%
Disgusted	0.7%
Fear	0.6%
Confused	0.3%

AWS Rekognition

Age	30-40
Gender	Male, 71.8%
Happy	87.6%
Calm	9.4%
Surprised	1.6%
Sad	0.4%
Disgusted	0.3%
Angry	0.3%
Fear	0.3%
Confused	0.1%

AWS Rekognition

Age	47-53
Gender	Male, 99.3%
Calm	95.1%
Happy	3.2%
Fear	0.5%
Surprised	0.5%
Angry	0.2%
Disgusted	0.2%
Sad	0.1%
Confused	0.1%

AWS Rekognition

Age	45-53
Gender	Female, 96.1%
Happy	98.2%
Sad	1%
Surprised	0.3%
Angry	0.1%
Calm	0.1%
Confused	0.1%
Fear	0.1%
Disgusted	0.1%

AWS Rekognition

Age	37-45
Gender	Male, 93.7%
Calm	80.9%
Surprised	8.5%
Confused	4.1%
Sad	1.7%
Disgusted	1.5%
Fear	1.4%
Happy	1.4%
Angry	0.4%

AWS Rekognition

Age	49-57
Gender	Male, 93.8%
Calm	98.8%
Happy	0.4%
Surprised	0.3%
Sad	0.2%
Disgusted	0.1%
Angry	0.1%
Confused	0.1%
Fear	0.1%

AWS Rekognition

Age	45-51
Gender	Male, 94.7%
Calm	71.8%
Surprised	12%
Confused	7%
Sad	6.3%
Angry	1.7%
Disgusted	0.5%
Happy	0.4%
Fear	0.4%

AWS Rekognition

Age	38-46
Gender	Male, 99.7%
Happy	41.8%
Angry	21.6%
Surprised	9.3%
Fear	9.3%
Calm	6.7%
Disgusted	5.5%
Confused	3%
Sad	2.8%

AWS Rekognition

Age	49-57
Gender	Male, 99.1%
Calm	80%
Happy	14.8%
Fear	1.6%
Disgusted	1.4%
Sad	0.9%
Confused	0.8%
Surprised	0.2%
Angry	0.2%

AWS Rekognition

Age	30-40
Gender	Male, 78.9%
Sad	45.7%
Calm	30%
Happy	14.2%
Confused	3.5%
Surprised	2.2%
Disgusted	1.8%
Angry	1.5%
Fear	1.1%

AWS Rekognition

Age	29-39
Gender	Male, 79%
Calm	97%
Sad	1.7%
Confused	0.4%
Angry	0.2%
Fear	0.2%
Happy	0.2%
Surprised	0.1%
Disgusted	0.1%

AWS Rekognition

Age	28-38
Gender	Male, 89.3%
Calm	62.7%
Surprised	15.2%
Confused	9%
Sad	5.4%
Angry	3.4%
Happy	2.2%
Disgusted	1.2%
Fear	0.9%

AWS Rekognition

Age	45-53
Gender	Male, 67%
Happy	87.1%
Surprised	3%
Calm	2.4%
Confused	2.4%
Disgusted	1.8%
Sad	1.7%
Angry	1%
Fear	0.6%

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	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	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	Very unlikely
Blurred	Very unlikely

Google Vision

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

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	Likely

Title Untitled (group portrait of nurses with man in suit sitting in middle)	Date 1951
People Artist: Martin Schweig, American 20th century	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9438

Person	99.4

Human	99.4

Person	99.2

Person	99.1

Person	99

Person	98.9

Person	98.6

Person	98.4

Person	98.4

Person	98.4

Clothing	98.1

Apparel	98.1

Person	95.4

Person	95.1

Shorts	92.3

Chair	91.4

Furniture	91.4

Indoors	90.1

Floor	85.5

Face	84

Room	84

Sleeve	80.1

Person	76.4

Dress	76.3

Female	74.4

Portrait	70.3

Photography	70.3

Photo	70.3

People	70.1

Crowd	68.4

Sailor Suit	68.3

Kid	65.8

Child	65.8

Meal	63.8

Food	63.8

Transportation	62.1

Girl	60.8

Vehicle	57.5

Hall	55.8

Person	53.8

Person	49.6

Person	47.7

people	99.8

group together	98.9

many	98.4

group	98

child	97.4

education	97.2

uniform	96.8

school	95.5

conformity	94.5

man	94

adult	93.4

wear	93.3

woman	92.3

recreation	91.7

boy	91.3

competition	88.3

outfit	87.9

indoors	87.6

crowd	87.5

adolescent	85.7

people	33.4

snow	28.8

group	26.6

winter	21.3

crowd	19.2

men	18.9

child	17.8

cold	14.6

person	14.3

man	14.2

walking	14.2

adult	13.7

male	13.5

women	13.4

happy	13.1

urban	13.1

locker	13

weather	12.8

dog	12.5

silhouette	12.4

portrait	12.3

outdoors	11.9

city	11.6

negative	10.6

fastener	10.5

scene	10.4

sport	10.4

business	10.3

smiling	10.1

girls	10

children	10

smile	10

transportation	9.9

fun	9.7

picket fence	9.7

black	9.6

fence	9.5

ice	9.5

motion	9.4

holiday	9.3

street	9.2

travel	9.1

time	9.1

old	9

restraint	9

active	9

world	8.6

walk	8.6

canine	8.4

film	8.4

mother	8.4

teamwork	8.3

building	8.3

human	8.2

team	8.1

family	8

sidewalk	7.8

couple	7.8

architecture	7.8

train	7.8

device	7.7

move	7.7

casual	7.6

kids	7.5

friendship	7.5

speed	7.3

exercise	7.3

success	7.2

lifestyle	7.2

activity	7.2

decoration	7.2

working	7.1

together	7

Font	82.1

Crew	71.6

Event	68.9

Monochrome	68.5

Monochrome photography	67.6

Metal	64.9

Team	64.8

Machine	62.3

Art	62.2

Room	60.6

Symmetry	59.3

Rectangle	55.5

Collection	55.1

Suit	53.7

History	52.8

Circle	50.5

posing	98.9

text	95

person	91.5

clothing	82.9

standing	77.7

group	77.2

footwear	62.6

streetview architecture	87.6%

beaches seaside	9.3%

nature landscape	1.4%

a group of people posing for a photo	93.9%

a group of people posing for the camera	93.8%

a group of people posing for a picture	93.7%

Human Generated Data

Title

Untitled (group portrait of nurses with man in suit sitting in middle)

Date

1951

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9438

Human Generated Data

Title

Untitled (group portrait of nurses with man in suit sitting in middle)

People

Artist: Martin Schweig, American 20th century

Date

1951

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9438

Machine Generated Data

Tags

Amazoncreated on 2022-01-23

Clarifaicreated on 2023-10-26

Imaggacreated on 2022-01-23

Googlecreated on 2022-01-23

Microsoftcreated on 2022-01-23

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

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

Amazon
created on 2022-01-23

Clarifai
created on 2023-10-26

Imagga
created on 2022-01-23

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

Microsoft
created on 2022-01-23