AI Data for Untitled (children riding on toy train) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age	34-42
Gender	Female, 100%
Calm	97.5%
Fear	0.9%
Confused	0.4%
Disgusted	0.4%
Sad	0.3%
Surprised	0.3%
Angry	0.2%
Happy	0.1%

AWS Rekognition

Age	16-24
Gender	Male, 98.4%
Calm	52.9%
Confused	17%
Sad	16.7%
Angry	3.6%
Disgusted	3.6%
Fear	2.4%
Surprised	2.2%
Happy	1.6%

AWS Rekognition

Age	27-37
Gender	Female, 100%
Calm	41.8%
Disgusted	20.6%
Angry	15.2%
Sad	8.2%
Confused	4.9%
Surprised	4.9%
Happy	3.2%
Fear	1.3%

AWS Rekognition

Age	4-10
Gender	Female, 100%
Calm	78.7%
Sad	13.5%
Fear	6.2%
Disgusted	0.5%
Angry	0.4%
Surprised	0.3%
Confused	0.2%
Happy	0.2%

AWS Rekognition

Age	2-10
Gender	Female, 99.6%
Sad	58.6%
Calm	22%
Fear	11.4%
Angry	2.5%
Disgusted	2.4%
Surprised	1.6%
Confused	1.1%
Happy	0.4%

AWS Rekognition

Age	0-4
Gender	Female, 94%
Calm	67.9%
Sad	29%
Confused	1.3%
Angry	0.7%
Disgusted	0.3%
Fear	0.3%
Surprised	0.2%
Happy	0.2%

AWS Rekognition

Age	2-10
Gender	Female, 99.8%
Calm	97.9%
Surprised	0.7%
Sad	0.5%
Fear	0.3%
Confused	0.3%
Disgusted	0.2%
Angry	0.1%
Happy	0.1%

AWS Rekognition

Age	47-53
Gender	Female, 99.3%
Calm	95%
Sad	2.8%
Surprised	0.5%
Angry	0.4%
Fear	0.4%
Confused	0.3%
Disgusted	0.3%
Happy	0.2%

AWS Rekognition

Age	31-41
Gender	Female, 100%
Calm	69.2%
Fear	12.2%
Disgusted	7%
Confused	3.7%
Surprised	2.7%
Angry	2.2%
Happy	1.8%
Sad	1.3%

AWS Rekognition

Age	0-6
Gender	Male, 95.4%
Calm	73%
Fear	6.7%
Sad	6%
Confused	5.1%
Surprised	4.4%
Angry	3%
Happy	1.1%
Disgusted	0.8%

AWS Rekognition

Age	1-7
Gender	Female, 99.7%
Calm	82.3%
Sad	14.8%
Angry	0.9%
Disgusted	0.6%
Confused	0.5%
Fear	0.4%
Surprised	0.3%
Happy	0.3%

AWS Rekognition

Age	6-12
Gender	Female, 84.1%
Calm	99.8%
Sad	0.1%
Angry	0%
Surprised	0%
Confused	0%
Happy	0%
Disgusted	0%
Fear	0%

AWS Rekognition

Age	0-6
Gender	Male, 94.1%
Calm	94.2%
Confused	2.7%
Sad	1.9%
Surprised	0.4%
Angry	0.4%
Disgusted	0.2%
Fear	0.1%
Happy	0.1%

AWS Rekognition

Age	2-8
Gender	Male, 99.4%
Calm	90.9%
Sad	5.3%
Confused	1.9%
Fear	1.1%
Disgusted	0.4%
Surprised	0.2%
Happy	0.2%
Angry	0.1%

AWS Rekognition

Age	20-28
Gender	Male, 55.6%
Calm	43.5%
Surprised	15.9%
Disgusted	14.4%
Sad	10.6%
Angry	8.6%
Confused	2.7%
Fear	2.3%
Happy	2%

AWS Rekognition

Age	4-10
Gender	Male, 99.6%
Happy	86.3%
Sad	11.6%
Calm	0.7%
Angry	0.6%
Confused	0.5%
Fear	0.2%
Surprised	0.1%
Disgusted	0.1%

AWS Rekognition

Age	42-50
Gender	Female, 100%
Calm	71%
Happy	16.1%
Angry	4.1%
Confused	2.5%
Sad	2.1%
Disgusted	1.5%
Surprised	1.5%
Fear	1.2%

AWS Rekognition

Age	4-12
Gender	Female, 100%
Calm	71.9%
Confused	12.4%
Sad	7.7%
Angry	5.4%
Happy	0.8%
Disgusted	0.7%
Surprised	0.6%
Fear	0.4%

AWS Rekognition

Age	2-10
Gender	Female, 99.4%
Calm	63.2%
Happy	15.8%
Confused	7.7%
Sad	5.8%
Disgusted	2.5%
Angry	2.4%
Surprised	1.6%
Fear	0.9%

AWS Rekognition

Age	6-12
Gender	Female, 98.7%
Calm	35.3%
Sad	27.5%
Fear	21.8%
Surprised	8.6%
Disgusted	2.9%
Happy	1.5%
Angry	1.3%
Confused	1.2%

AWS Rekognition

Age	6-14
Gender	Female, 63.8%
Calm	42.9%
Angry	28.9%
Fear	10.6%
Sad	8.1%
Confused	4.6%
Surprised	3.7%
Disgusted	0.8%
Happy	0.4%

AWS Rekognition

Age	0-6
Gender	Male, 99.2%
Calm	70.2%
Sad	14.5%
Confused	8.5%
Angry	2.6%
Surprised	1.8%
Fear	1.4%
Disgusted	0.8%
Happy	0.3%

AWS Rekognition

Age	45-51
Gender	Female, 100%
Calm	99.1%
Sad	0.3%
Disgusted	0.1%
Confused	0.1%
Angry	0.1%
Happy	0.1%
Surprised	0.1%
Fear	0.1%

AWS Rekognition

Age	6-14
Gender	Female, 99.8%
Calm	70.7%
Happy	23.1%
Sad	2.2%
Angry	1.9%
Surprised	0.9%
Disgusted	0.6%
Confused	0.4%
Fear	0.3%

AWS Rekognition

Age	23-33
Gender	Male, 74.2%
Calm	84.3%
Disgusted	7.1%
Happy	2.7%
Sad	2.4%
Angry	1.1%
Confused	0.9%
Fear	0.9%
Surprised	0.5%

AWS Rekognition

Age	6-12
Gender	Female, 75.6%
Calm	97.8%
Happy	1.2%
Sad	0.5%
Disgusted	0.2%
Angry	0.1%
Confused	0.1%
Fear	0.1%
Surprised	0.1%

AWS Rekognition

Age	6-12
Gender	Male, 83.5%
Calm	97.5%
Sad	0.9%
Surprised	0.5%
Confused	0.4%
Angry	0.2%
Happy	0.2%
Disgusted	0.2%
Fear	0.1%

AWS Rekognition

Age	20-28
Gender	Female, 56.7%
Sad	81.1%
Fear	8%
Disgusted	6.2%
Calm	1.5%
Happy	1.2%
Surprised	0.9%
Angry	0.7%
Confused	0.3%

AWS Rekognition

Age	38-46
Gender	Female, 100%
Happy	93.8%
Disgusted	2.4%
Surprised	1.3%
Calm	0.7%
Angry	0.6%
Fear	0.5%
Sad	0.4%
Confused	0.3%

AWS Rekognition

Age	12-20
Gender	Female, 73.3%
Calm	96.4%
Sad	1%
Happy	0.8%
Confused	0.8%
Disgusted	0.4%
Fear	0.3%
Surprised	0.2%
Angry	0.1%

AWS Rekognition

Age	25-35
Gender	Male, 92.1%
Calm	81.6%
Angry	7.9%
Disgusted	4.1%
Sad	2.3%
Surprised	1.3%
Fear	1.2%
Confused	0.9%
Happy	0.8%

AWS Rekognition

Age	2-10
Gender	Male, 77.9%
Calm	96.4%
Surprised	1.7%
Sad	0.6%
Fear	0.5%
Happy	0.3%
Confused	0.3%
Angry	0.1%
Disgusted	0.1%

AWS Rekognition

Age	9-17
Gender	Female, 98.8%
Calm	99%
Happy	0.3%
Sad	0.3%
Confused	0.1%
Angry	0.1%
Surprised	0.1%
Disgusted	0.1%
Fear	0%

AWS Rekognition

Age	1-7
Gender	Male, 87.3%
Calm	99.3%
Surprised	0.4%
Sad	0.1%
Confused	0.1%
Disgusted	0%
Fear	0%
Happy	0%
Angry	0%

AWS Rekognition

Age	23-31
Gender	Male, 78%
Sad	77.1%
Calm	7.7%
Happy	3.6%
Confused	3.2%
Disgusted	2.9%
Angry	2.5%
Fear	2.1%
Surprised	0.9%

AWS Rekognition

Age	23-31
Gender	Male, 62%
Calm	94.4%
Sad	1.8%
Happy	1.2%
Confused	0.8%
Angry	0.6%
Surprised	0.5%
Disgusted	0.4%
Fear	0.2%

AWS Rekognition

Age	6-12
Gender	Male, 80.2%
Calm	93.6%
Sad	3.9%
Happy	0.6%
Disgusted	0.5%
Confused	0.4%
Angry	0.4%
Fear	0.3%
Surprised	0.2%

AWS Rekognition

Age	13-21
Gender	Female, 99.5%
Calm	92.9%
Disgusted	3.8%
Confused	1%
Sad	0.6%
Happy	0.5%
Surprised	0.4%
Fear	0.4%
Angry	0.3%

Microsoft Cognitive Services

Age	22
Gender	Male

Microsoft Cognitive Services

Age	1
Gender	Male

Microsoft Cognitive Services

Age	41
Gender	Female

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	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	Very unlikely
Blurred	Very unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	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 likely

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	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	Very unlikely
Blurred	Very 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	Likely

Google Vision

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

Feature analysis

Amazon

Person

Crib

Person	98.5%

Person	95%

Person	93.9%

Person	87%

Person	75.6%

Person	68.9%

Person	65.1%

Person	46.4%

Person	44.7%

Person	41.7%

Crib	73.4%

Captions

Microsoft
created on 2022-02-05

a vintage photo of a group of people posing for the camera	75.9%

a vintage photo of a group of people posing for a picture	75.8%

a group of people posing for a photo	75.7%

Text analysis

Amazon

CITY OF ST.

CITY OF ST. LOUIS

LOUIS

Google

TY SE S

Title Untitled (children riding on toy train)	Date c. 1951
People Artist: Jack Gould, American	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15615

people	99.7

woman	98.8

man	97.5

group	97.4

adult	97.1

child	95.5

wedding	92.9

girl	92.1

indoors	91.6

portrait	89.5

retro	89.3

family	89.2

step	86.6

vintage	85.9

sit	85.3

art	84.8

music	83.4

son	81.6

group together	80.1

wear	78.7

graffito	67.7

grunge	51.1

decoration	50.5

old	44.6

vintage	40.5

retro	38.5

antique	36.4

aged	33.5

texture	33.3

container	27.7

ancient	26.8

paper	26.7

envelope	26.4

wall	25.5

frame	21.6

material	21.4

freight car	20.3

art	20.2

dirty	19

wallpaper	18.4

decay	18.3

border	17.2

pattern	17.1

design	16.3

box	15.7

floral	15.3

car	15.1

textured	14.9

grime	14.7

flower	14.6

graphic	14.6

blank	14.6

parchment	14.4

damaged	14.3

grungy	14.2

structure	14

page	13.9

empty	13.7

stain	13.5

textures	13.3

space	13.2

backgrounds	13

grain	12.9

fracture	12.7

brown	12.5

worn	12.4

canvas	12.3

wheeled vehicle	12.2

decorative	11.7

binding	11.5

text	11.4

paint	10.9

mottled	10.7

torn	10.6

stained	10.6

rusty	10.5

artistic	10.4

leaf	10.1

symbol	10.1

letter	10.1

rough	10

distressed	9.8

crack	9.7

style	9.6

carton	9.6

aging	9.6

old fashioned	9.5

card	9.4

building	9.2

backdrop	9.1

history	8.9

painterly	8.9

detail	8.8

crumpled	8.7

detailed	8.7

architecture	8.6

painted	8.6

weathered	8.5

plants	8.3

element	8.3

effect	8.2

painting	8.1

decor	8

surface	7.9

stamp	7.9

smudged	7.9

postage	7.9

ragged	7.8

album	7.8

stains	7.8

faded	7.8

messy	7.7

edge	7.7

vehicle	7.7

obsolete	7.7

mail	7.7

note	7.4

ornate	7.3

drawing	7.3

black	7.2

Water	81.4

Font	80.4

Vehicle	77

Tints and shades	76.7

Vintage clothing	73.6

Art	71.8

Event	68.2

Crew	66.4

Stock photography	64.3

Suit	63.6

Room	62.5

Illustration	61.7

Visual arts	60.6

Team	60.4

Rectangle	58.3

Monochrome	58

Photographic paper	57

Rolling stock	56

History	56

Retro style	55.3

clothing	97.4

text	95.5

person	92.2

man	76.2

old	73.8

people	57.6

posing	48.3

Person	98.5

Human	98.5

Person	95

Person	93.9

Person	87

Handrail	76.4

Banister	76.4

Furniture	75.8

Person	75.6

Crib	73.4

Crowd	72

Person	68.9

Room	65.5

Indoors	65.5

Person	65.1

People	62.3

Audience	60.5

Clinic	57.6

LCD Screen	55.6

Electronics	55.6

Screen	55.6

Monitor	55.6

Display	55.6

Person	46.4

Person	44.7

Person	41.7

paintings art	49.4%

food drinks	24.2%

interior objects	23.3%

events parties	1.3%

Human Generated Data

Title

Untitled (children riding on toy train)

Date

c. 1951

People

Artist: Jack Gould, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15615

Human Generated Data

Title

Untitled (children riding on toy train)

People

Artist: Jack Gould, American

Date

c. 1951

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15615

Machine Generated Data

Tags

Amazoncreated on 2022-02-05

Clarifaicreated on 2023-10-29

Imaggacreated on 2022-02-05

Googlecreated on 2022-02-05

Microsoftcreated on 2022-02-05

Color Analysis

Face analysis

Amazon

Microsoft

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

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Microsoft Cognitive Services

Microsoft Cognitive Services

Microsoft Cognitive Services

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Amazon
created on 2022-02-05

Clarifai
created on 2023-10-29

Imagga
created on 2022-02-05

Google
created on 2022-02-05

Microsoft
created on 2022-02-05

Microsoft
created on 2022-02-05