AI Data for Untitled (class picture in front of school) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	21-33
Gender	Male, 86.2%
Calm	70%
Sad	11.9%
Angry	5.5%
Happy	5%
Confused	2.7%
Fear	2.1%
Disgusted	1.8%
Surprised	1%

AWS Rekognition

Age	54-72
Gender	Female, 52.2%
Calm	89.7%
Sad	4.7%
Happy	2.3%
Angry	1.8%
Confused	0.8%
Surprised	0.3%
Disgusted	0.2%
Fear	0.2%

AWS Rekognition

Age	50-68
Gender	Male, 86.7%
Calm	77.7%
Happy	15.8%
Sad	1.6%
Surprised	1.6%
Angry	1.4%
Confused	0.9%
Disgusted	0.6%
Fear	0.4%

AWS Rekognition

Age	41-59
Gender	Female, 65.7%
Calm	45.9%
Happy	39.2%
Surprised	6.5%
Fear	2.7%
Sad	1.8%
Confused	1.6%
Angry	1.4%
Disgusted	0.8%

AWS Rekognition

Age	30-46
Gender	Female, 60.3%
Calm	76.6%
Sad	9.9%
Happy	5.6%
Angry	4.1%
Disgusted	1.2%
Confused	1.2%
Surprised	0.7%
Fear	0.6%

AWS Rekognition

Age	23-35
Gender	Female, 69%
Calm	54.4%
Sad	35.7%
Fear	4.6%
Confused	3%
Surprised	1.3%
Happy	0.5%
Angry	0.5%
Disgusted	0.2%

AWS Rekognition

Age	42-60
Gender	Male, 64.6%
Calm	40%
Surprised	32.3%
Happy	14.7%
Angry	4.8%
Disgusted	2.8%
Confused	2.2%
Fear	1.8%
Sad	1.5%

AWS Rekognition

Age	45-63
Gender	Male, 91.7%
Sad	62.4%
Calm	28.3%
Confused	4%
Angry	2%
Surprised	1.1%
Happy	0.9%
Fear	0.9%
Disgusted	0.3%

AWS Rekognition

Age	48-66
Gender	Male, 58.7%
Calm	95.4%
Sad	3.5%
Confused	0.5%
Happy	0.4%
Angry	0.1%
Surprised	0%
Disgusted	0%
Fear	0%

AWS Rekognition

Age	47-65
Gender	Male, 82.6%
Calm	77%
Sad	10.5%
Confused	5.6%
Surprised	3.6%
Happy	1.4%
Angry	1.1%
Disgusted	0.7%
Fear	0.2%

AWS Rekognition

Age	18-30
Gender	Female, 51.4%
Calm	94.6%
Surprised	1.8%
Happy	1.4%
Sad	0.8%
Angry	0.7%
Disgusted	0.2%
Confused	0.2%
Fear	0.2%

AWS Rekognition

Age	25-39
Gender	Male, 82.1%
Calm	96.5%
Sad	1.2%
Confused	0.5%
Happy	0.5%
Surprised	0.4%
Disgusted	0.3%
Angry	0.3%
Fear	0.1%

AWS Rekognition

Age	23-37
Gender	Female, 64.8%
Calm	86.8%
Surprised	6.7%
Sad	3%
Confused	1.6%
Happy	0.9%
Angry	0.5%
Disgusted	0.3%
Fear	0.2%

AWS Rekognition

Age	46-64
Gender	Male, 61.9%
Calm	73.2%
Happy	11%
Surprised	8.9%
Sad	2%
Confused	1.8%
Fear	1.4%
Disgusted	0.9%
Angry	0.7%

AWS Rekognition

Age	22-34
Gender	Male, 85.1%
Calm	92.5%
Sad	1.7%
Confused	1.6%
Happy	1.5%
Surprised	1.1%
Angry	0.6%
Fear	0.5%
Disgusted	0.4%

AWS Rekognition

Age	24-38
Gender	Male, 66.1%
Calm	71.5%
Confused	12.6%
Happy	6.5%
Surprised	3.7%
Sad	3.6%
Fear	1.2%
Angry	0.6%
Disgusted	0.5%

AWS Rekognition

Age	36-52
Gender	Female, 56.3%
Calm	91.8%
Sad	6.7%
Happy	0.7%
Confused	0.5%
Angry	0.1%
Disgusted	0.1%
Surprised	0%
Fear	0%

AWS Rekognition

Age	47-65
Gender	Male, 83.4%
Calm	76.6%
Happy	20.1%
Sad	0.9%
Surprised	0.9%
Angry	0.7%
Confused	0.5%
Disgusted	0.2%
Fear	0.1%

AWS Rekognition

Age	23-37
Gender	Male, 72.2%
Surprised	45.8%
Calm	37%
Confused	7.2%
Fear	3.8%
Happy	3.6%
Sad	1.2%
Angry	0.8%
Disgusted	0.6%

AWS Rekognition

Age	23-35
Gender	Male, 57.3%
Calm	94.7%
Happy	1.4%
Sad	1.4%
Surprised	1.1%
Angry	0.6%
Fear	0.4%
Confused	0.2%
Disgusted	0.2%

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	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	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	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	Possible
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	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	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	Likely

Google Vision

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

Feature analysis

Amazon

Person	99.4%

Captions

Microsoft
created on 2021-12-14

a vintage photo of a group of people standing in front of a building	87.3%

a vintage photo of a group of people posing for the camera	87.2%

a vintage photo of a group of people standing in front of a window	81.6%

Title Untitled (class picture in front of school)	Date c. 1930
People Artist: Hamblin Studio, American active 1930s	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2012

Clothing	99.7

Apparel	99.7

Person	99.4

Human	99.4

Person	99.4

Person	99.3

Person	99.2

Person	99

Person	98.9

Person	98.8

Person	98.5

Person	98.4

Person	98.2

Person	97.2

Person	93.9

Shorts	92.4

Person	90.5

Person	89.9

Skirt	88.4

People	81.6

Tartan	81.4

Plaid	81.4

Person	78.7

Female	72.7

Kilt	70.4

Person	67.2

Crowd	65.6

Person	61.5

Girl	57.5

people	99.9

uniform	98.6

many	98.2

group together	98.1

man	97.2

adult	95.7

wear	95.3

group	95.2

squad	94.9

school	94.8

woman	93.4

child	92.3

education	92.2

athlete	91.1

boy	90.9

competition	90.4

recreation	89.6

outfit	80.3

sport	79.9

crowd	75.6

kin	55.3

people	29.5

male	20.5

group	20.1

man	18.1

beach	17.7

adult	17.1

happy	16.9

summer	16.7

silhouette	16.5

fun	16.4

person	16.4

outdoors	15.7

happiness	15.7

men	15.4

outdoor	15.3

sport	14.8

couple	14.8

water	14.7

child	14.4

lifestyle	13.7

leisure	13.3

walking	13.2

vacation	13.1

portrait	12.9

joy	12.5

sand	12.2

sibling	11.9

classroom	11.8

love	11.8

room	11.6

smiling	11.6

family	11.5

boy	11.3

women	11.1

dog	10.8

ocean	10.8

teacher	10.7

travel	10.6

together	10.5

friends	10.3

business	10.3

friendship	10.3

sky	10.2

sea	10.2

active	9.9

sunset	9.9

run	9.6

day	9.4

winter	9.3

exercise	9.1

activity	8.9

educator	8.8

walk	8.6

kids	8.5

enjoy	8.5

life	8.4

relax	8.4

attractive	8.4

action	8.3

city	8.3

holding	8.2

cheerful	8.1

holiday	7.9

play	7.7

world	7.7

father	7.7

crowd	7.7

running	7.7

togetherness	7.5

field	7.5

parent	7.4

park	7.4

professional	7.3

girls	7.3

sun	7.2

body	7.2

transportation	7.2

sunlight	7.1

kid	7.1

interior	7.1

businessman	7.1

Picture frame	94.5

Dress	86.9

Adaptation	79.2

Monochrome	75.2

Font	74.2

Monochrome photography	74

Uniform	73.8

Building	73.3

Vintage clothing	72.5

Team sport	71

Event	70.5

Photo caption	70.3

Room	68.9

Suit	68.2

History	67.1

Team	66.8

Stock photography	63.4

Art	59.1

Photographic paper	57.7

Ball	55

person	99.3

text	99.3

soccer	95.5

clothing	93

window	88.7

sports equipment	83.9

footwear	81.2

black	77.7

old	68.1

baseball	64.3

white	63.2

man	59.5

playground	56.8

football	54.3

posing	43.9

interior objects	61.5%

people portraits	17.8%

paintings art	8.7%

food drinks	7%

text visuals	1.7%

events parties	1.2%

streetview architecture	1.1%

Human Generated Data

Title

Untitled (class picture in front of school)

Date

c. 1930

People

Artist: Hamblin Studio, American active 1930s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2012

Human Generated Data

Title

Untitled (class picture in front of school)

People

Artist: Hamblin Studio, American active 1930s

Date

c. 1930

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2012

Machine Generated Data

Tags

Amazoncreated on 2021-12-14

Clarifaicreated on 2023-10-25

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

Amazon
created on 2021-12-14

Clarifai
created on 2023-10-25

Imagga
created on 2021-12-14

Google
created on 2021-12-14

Microsoft
created on 2021-12-14

Microsoft
created on 2021-12-14