AI Data for Easter Mornings | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	10-18
Gender	Female, 77.9%
Happy	90.2%
Calm	9%
Confused	0.3%
Angry	0.2%
Surprised	0.1%
Disgusted	0.1%
Sad	0.1%
Fear	0.1%

AWS Rekognition

Age	35-43
Gender	Female, 99.9%
Happy	96.2%
Calm	2.6%
Surprised	0.4%
Disgusted	0.3%
Sad	0.2%
Angry	0.2%
Confused	0.1%
Fear	0.1%

AWS Rekognition

Age	19-27
Gender	Female, 100%
Disgusted	57.6%
Calm	29.2%
Happy	6.7%
Confused	3.5%
Sad	1.7%
Angry	0.6%
Surprised	0.3%
Fear	0.3%

AWS Rekognition

Age	18-24
Gender	Male, 98.3%
Happy	41.3%
Fear	29.2%
Calm	13%
Sad	12.4%
Angry	2%
Surprised	0.9%
Disgusted	0.9%
Confused	0.3%

AWS Rekognition

Age	4-10
Gender	Female, 84.8%
Calm	93.9%
Happy	4.1%
Angry	0.7%
Confused	0.4%
Surprised	0.3%
Sad	0.2%
Disgusted	0.2%
Fear	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 99.1%
Happy	61.3%
Calm	30.7%
Surprised	2.2%
Sad	2.2%
Angry	1.5%
Disgusted	0.8%
Confused	0.7%
Fear	0.7%

AWS Rekognition

Age	7-17
Gender	Male, 93%
Sad	83.8%
Happy	7.5%
Calm	5.2%
Angry	1.7%
Disgusted	1%
Confused	0.3%
Surprised	0.3%
Fear	0.2%

AWS Rekognition

Age	6-12
Gender	Female, 99.7%
Calm	95.5%
Confused	1.2%
Sad	1.1%
Happy	1.1%
Disgusted	0.4%
Surprised	0.3%
Angry	0.2%
Fear	0.1%

AWS Rekognition

Age	16-24
Gender	Male, 97.9%
Calm	90.3%
Angry	6.6%
Sad	2.1%
Disgusted	0.3%
Confused	0.3%
Surprised	0.1%
Happy	0.1%
Fear	0.1%

AWS Rekognition

Age	9-17
Gender	Female, 100%
Happy	98.9%
Surprised	0.2%
Sad	0.2%
Calm	0.2%
Fear	0.2%
Angry	0.1%
Disgusted	0.1%
Confused	0.1%

AWS Rekognition

Age	12-20
Gender	Female, 99.7%
Calm	94.3%
Happy	3.8%
Sad	0.6%
Confused	0.4%
Fear	0.4%
Angry	0.2%
Surprised	0.2%
Disgusted	0.1%

AWS Rekognition

Age	22-30
Gender	Male, 80.9%
Happy	81.2%
Sad	6%
Surprised	5.4%
Calm	3.5%
Confused	1.2%
Angry	1.2%
Disgusted	0.8%
Fear	0.7%

AWS Rekognition

Age	7-17
Gender	Female, 61%
Calm	60.6%
Happy	25.9%
Sad	5%
Confused	3.3%
Angry	1.9%
Surprised	1.9%
Fear	0.7%
Disgusted	0.7%

AWS Rekognition

Age	21-29
Gender	Male, 71.8%
Calm	97.5%
Happy	0.7%
Sad	0.5%
Confused	0.3%
Surprised	0.3%
Angry	0.3%
Fear	0.2%
Disgusted	0.2%

AWS Rekognition

Age	22-30
Gender	Female, 91.4%
Sad	97.6%
Calm	0.7%
Fear	0.6%
Happy	0.5%
Confused	0.3%
Disgusted	0.2%
Angry	0.1%
Surprised	0.1%

AWS Rekognition

Age	37-45
Gender	Female, 99.8%
Disgusted	96.1%
Happy	2.7%
Confused	0.3%
Calm	0.3%
Angry	0.2%
Sad	0.2%
Surprised	0.2%
Fear	0.1%

AWS Rekognition

Age	21-29
Gender	Female, 89.9%
Happy	93.6%
Surprised	2%
Calm	1.6%
Fear	1%
Sad	0.6%
Confused	0.5%
Disgusted	0.4%
Angry	0.4%

AWS Rekognition

Age	0-3
Gender	Female, 88.5%
Sad	91.1%
Happy	8%
Angry	0.3%
Fear	0.2%
Surprised	0.2%
Calm	0.1%
Disgusted	0.1%
Confused	0%

AWS Rekognition

Age	2-8
Gender	Male, 97.6%
Happy	98.8%
Calm	0.4%
Sad	0.3%
Angry	0.1%
Confused	0.1%
Surprised	0.1%
Disgusted	0.1%
Fear	0%

AWS Rekognition

Age	26-36
Gender	Female, 82.5%
Happy	58.6%
Fear	19.8%
Calm	19.3%
Surprised	1.2%
Disgusted	0.4%
Angry	0.3%
Confused	0.2%
Sad	0.2%

AWS Rekognition

Age	21-29
Gender	Female, 92.4%
Calm	71.2%
Fear	15.9%
Angry	3.9%
Confused	3.4%
Sad	2.5%
Disgusted	1.3%
Happy	0.9%
Surprised	0.8%

AWS Rekognition

Age	30-40
Gender	Male, 99.9%
Angry	62.6%
Sad	14.4%
Fear	9.2%
Calm	4.6%
Surprised	4.2%
Happy	2.4%
Disgusted	1.5%
Confused	1.1%

Google Vision

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

Google Vision

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

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very likely
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	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	Likely
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	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

Feature analysis

Amazon

Person	98.6%

Poster	96%

Captions

Microsoft
created on 2022-01-09

a picture of a room	45.4%

a room with white walls	27.9%

Text analysis

Amazon

Nettles

AUTOBIOGRAPHY

the

and

VISUAL AUTOBIOGRAPHY

Bea

Bea Nettles

EASTER

who

EASTER MORNINGS

VISUAL

MORNINGS

Mother

made

her

with

Dedicated

Dad

darkroom

firet

magic.

Dedicated to my Mother and her mother, who made the dreases and taught me to

and to my Dad who made the pictures and uga the firet to ahare with ma darkroom seu... magic.

taught

mother,

pictures

ahare

uga

dreases

1974

seu...

1974 B

Google

47 48 49 50 55 57 58 73 74 Dedicated to my Mother and her mother, who made the dreasea and taught me to seu... and to my Dad who made the ploturea and was the firet to ahare uith me darkroom magie. EASTER MORNINGS Bea Nettles VISUAL AUTOBIOGRAPHY

Dedicated

Mother

and

her

mother,

who

made

the

dreasea

taught

seu...

Dad

ploturea

was

firet

ahare

uith

darkroom

magie.

EASTER

MORNINGS

Bea

Nettles

VISUAL

AUTOBIOGRAPHY

Title Easter Mornings	Date c. 1975
People Artist: Bea Nettles, American 1946 -	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Student Print Rental Program, P1976.93

people	99.8

collage	99.4

group	99

adult	98.5

set	98.2

portrait	98.1

woman	97.9

collection	96.8

many	96.6

man	96.5

no person	93.3

wear	92.9

one	91.3

graphic design	90.6

administration	87.2

fashion	87.1

illustration	85.8

art	85.5

several	84.2

music	81.9

Photograph	94.3

Facial expression	93.3

White	92.2

Black	89.8

Font	86

Black-and-white	84.3

Style	83.9

Art	83.7

Adaptation	79.2

Monochrome	74.6

Monochrome photography	74.2

Room	71.1

Visual arts	69

History	68.5

Photographic paper	63.1

Stock photography	63

Pattern	59.1

Picture frame	56.6

Rectangle	55.8

Printmaking	55.2

text	99.1

gallery	93

cartoon	91.8

person	89.8

drawing	89.2

clothing	84.8

poster	77.7

sketch	73.1

woman	62.1

human face	60.9

man	55.3

screenshot	31.6

paintings art	94.9%

interior objects	3.9%

Collage	99.3

Advertisement	99.3

Person	98.6

Human	98.6

Person	98.5

Person	98.4

Person	97.4

Person	96.6

Poster	96

Person	93

Person	85.7

Person	85.3

Person	83.3

Person	82.7

Person	71.1

Person	69.4

Person	67.1

Person	63.9

Person	62.7

Person	60.2

Book	57.6

Comics	55

Person	44.6

design	37.2

card	32.4

paper	29.7

floral	25.5

frame	25.3

element	24.8

letterhead	24.8

vintage	24

art	23.9

symbol	22.9

graphic	22.6

decoration	21.7

pattern	21.2

collection	20.8

banner	20.2

decorative	20.1

retro	19.7

template	19.3

drawing	18.8

set	18.7

stationery	18.3

business	17.6

holiday	16.5

border	16.3

sign	15.8

style	15.6

new	15.4

money	15.3

greeting	14.9

grunge	14.5

antique	14.3

label	14.1

elements	13.9

shape	13.4

modern	13.3

silhouette	13.3

writing paper	13.2

flower	13.1

ornament	12.9

celebration	12.8

menu	12.6

insulating material	12.3

ornate	11.9

icon	11.9

year	11.9

leaf	11.7

cartoon	11.6

gift	11.2

old	11.2

elegant	11.1

texture	11.1

bank	10.9

wallpaper	10.7

decor	10.6

invitation	10.6

creative	10.6

blank	10.3

swirl	10.1

building material	10.1

currency	9.9

certificate	9.8

calendar	9.7

spread	9.6

exchange	9.6

season	9.4

cute	9.3

colorful	9.3

sketch	9.3

finance	9.3

dollar	9.3

stamp	9.3

cash	9.2

backdrop	9.1

text	8.7

love	8.7

day	8.6

bill	8.6

plant	8.5

traditional	8.3

wedding	8.3

damask	8.1

backgrounds	8.1

ribbon	8.1

office	8

financial	8

spring	7.9

diary	7.8

color	7.8

hundred	7.8

creation	7.7

mail	7.7

winter	7.7

product	7.6

date	7.6

simple	7.5

bird	7.5

cover	7.4

banking	7.4

letter	7.3

time	7.3

bookmark	7.1

button	7.1

curve	7

Human Generated Data

Title

Easter Mornings

Date

c. 1975

People

Artist: Bea Nettles, American 1946 -

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Student Print Rental Program, P1976.93

Human Generated Data

Title

Easter Mornings

People

Artist: Bea Nettles, American 1946 -

Date

c. 1975

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Student Print Rental Program, P1976.93

Machine Generated Data

Tags

Amazoncreated on 2022-01-09

Clarifaicreated on 2023-10-25

Imaggacreated on 2022-01-09

Googlecreated on 2022-01-09

Microsoftcreated on 2022-01-09

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

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 2022-01-09

Text analysis

Amazon

Amazon
created on 2022-01-09

Clarifai
created on 2023-10-25

Imagga
created on 2022-01-09

Google
created on 2022-01-09

Microsoft
created on 2022-01-09

Microsoft
created on 2022-01-09