AI Data for Untitled (photographs taken for "Portugal's Picturesque Nazaré" photo set) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	33-41
Gender	Female, 100%
Happy	99%
Surprised	0.2%
Calm	0.2%
Fear	0.2%
Disgusted	0.1%
Confused	0.1%
Sad	0.1%
Angry	0.1%

Feature analysis

Amazon

Person

Airplane

Person	93.1%

Captions

Text analysis

Amazon

SAFETY

PAN

PLUS

FILM

PAN FILM

KODAK

SAFE

21A

18A

KODAK PLUS ٠ PAN FILM

29A

KODAR

10A

KODAK PLUS

KODAK PLUS 1 PAN

x PAN FILM

KODAK PLUS XP

12A

16A

25A

->20

KODAK SNECTY FILM

-24

36A

-22

ODAR SAFE

> 10

KODEA

KODA PLUS SAW FILM

30 A

->23

KODA

КОПАН

20.4

-18

ODAR

99A

A14A

ISN

SAW FILM

>>44

SNECTY

>>8

ISA

Google

KODAK PLUS A PAN FILM KODAK SFCT FILM KODAK PLUS X P 36A •25A PAN FILM 294 14A 16A > 10 10 A 12 A KODAK SAFETY FILM 13 -> 20 ETV FILM 22 KODAK PLUS A PAN FILM

KODAK

PLUS

PAN

FILM

SFCT

36A

•25A

294

14A

16A

SAFETY

ETV

Title Untitled (photographs taken for "Portugal's Picturesque Nazaré" photo set)	Date April-May 1967
People Artist: Gordon W. Gahan, American 1945 - 1984	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.178

Collage	100

Advertisement	100

Poster	100

Person	93.1

Human	93.1

Person	88.1

Person	84.6

Shelf	83.9

Person	83.6

Person	83

Person	81.6

Person	81.1

Person	78.4

Indoors	73

Person	68.4

Person	66.1

Airplane	63.9

Transportation	63.9

Vehicle	63.9

Aircraft	63.9

Screen	63.6

Electronics	63.6

Person	63.1

Shop	59

Monitor	57.2

Display	57.2

Bookcase	57.1

Furniture	57.1

monochrome	99.7

people	99.6

street	99

shelf	97.7

art	97.6

collage	96.8

many	96.5

group	96.4

man	95.3

portrait	94.9

commerce	94.9

analogue	94.7

vintage	94.5

adult	92.8

mono	92.7

movie	92.3

old	91.9

city	90.7

stock	90.2

market	88.8

shop	45.9

stall	32.4

case	30.6

mercantile establishment	30.1

tobacco shop	25.3

place of business	20

technology	18.5

business	18.2

modern	14

shoe shop	13.5

art	13.1

digital	13

computer	12.8

entertainment	12

counter	11.6

design	11.2

black	10.8

paper	10.2

web	10.2

communication	10.1

establishment	9.9

pattern	9.6

glass	9.5

film	9.2

old	9

architecture	8.6

equipment	8.5

key	8.4

commerce	8.4

retro	8.2

pawn	8

light	8

building	8

information	8

button	7.9

colorful	7.9

vintage	7.8

industry	7.7

money	7.6

retail	7.6

store	7.5

website	7.5

office	7.5

drink	7.5

dark	7.5

electronic	7.5

presentation	7.4

network	7.4

window	7.4

man	7.3

data	7.3

new	7.3

monitor	7.1

antique	7.1

Photograph	94.2

Product	90.7

Rectangle	90.2

Black	89.9

Shelving	86

Font	84.3

Black-and-white	83.5

Line	82.1

Building	81.7

Art	81.5

Snapshot	74.3

Monochrome	73.9

Monochrome photography	73.7

Facade	70.6

Room	68.3

Shelf	67.4

Stock photography	66.2

Collection	61.8

Screenshot	60.7

Visual arts	59

text	98.3

indoor	86.2

screenshot	78.6

black and white	78.1

window	21.6

Age	25-35
Gender	Male, 99.9%
Calm	79.4%
Confused	5.6%
Angry	3.6%
Fear	3%
Disgusted	2.6%
Sad	2.4%
Happy	2%
Surprised	1.3%

Age	13-21
Gender	Female, 89.2%
Calm	42.3%
Fear	33.8%
Angry	6.3%
Happy	5.8%
Surprised	5.5%
Sad	2.7%
Confused	2.5%
Disgusted	1.1%

Age	23-33
Gender	Male, 99.4%
Sad	42.6%
Calm	38.7%
Fear	15.9%
Angry	1.2%
Happy	0.6%
Disgusted	0.3%
Confused	0.3%
Surprised	0.3%

Age	7-17
Gender	Male, 97.6%
Angry	47.3%
Calm	26%
Fear	14.6%
Sad	4.4%
Disgusted	3.9%
Surprised	1.8%
Confused	1.1%
Happy	0.9%

Age	14-22
Gender	Female, 74.9%
Sad	45%
Fear	39.7%
Calm	10.2%
Happy	1.3%
Disgusted	1.1%
Angry	1.1%
Surprised	0.9%
Confused	0.7%

Age	16-22
Gender	Male, 99.2%
Calm	86.3%
Sad	6.6%
Fear	2.3%
Angry	1.8%
Confused	1.1%
Happy	0.7%
Surprised	0.7%
Disgusted	0.5%

Age	13-21
Gender	Male, 98.1%
Calm	42.6%
Angry	42.3%
Fear	8.6%
Sad	2.1%
Surprised	1.7%
Confused	1.1%
Disgusted	1%
Happy	0.6%

Age	6-14
Gender	Male, 96.4%
Calm	95.5%
Surprised	2.1%
Disgusted	0.9%
Sad	0.5%
Angry	0.3%
Fear	0.3%
Confused	0.2%
Happy	0.2%

Age	20-28
Gender	Male, 99.8%
Calm	94.6%
Sad	1.5%
Angry	1.2%
Happy	1%
Fear	0.6%
Confused	0.4%
Surprised	0.4%
Disgusted	0.3%

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

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

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

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

Age	21-29
Gender	Male, 73.6%
Calm	33.6%
Sad	21%
Confused	17.6%
Angry	10.2%
Surprised	7.5%
Fear	4.8%
Disgusted	3.6%
Happy	1.7%

Age	2-8
Gender	Female, 54%
Calm	96%
Surprised	1%
Sad	0.9%
Happy	0.7%
Angry	0.6%
Confused	0.5%
Disgusted	0.2%
Fear	0.2%

Age	18-24
Gender	Male, 93.5%
Calm	59.2%
Fear	29%
Sad	5.1%
Happy	3.8%
Angry	1.6%
Surprised	0.6%
Disgusted	0.4%
Confused	0.3%

Human Generated Data

Title

Untitled (photographs taken for "Portugal's Picturesque Nazaré" photo set)

Date

April-May 1967

People

Artist: Gordon W. Gahan, American 1945 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.178

Human Generated Data

Title

Untitled (photographs taken for "Portugal's Picturesque Nazaré" photo set)

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

April-May 1967

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.1.178

Machine Generated Data

Tags

Amazoncreated on 2022-03-12

Clarifaicreated on 2023-10-22

Imaggacreated on 2022-03-12

Googlecreated on 2022-03-12

Microsoftcreated on 2022-03-12

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

Google Vision

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon

Categories

Imagga

Captions

Text analysis

Amazon

Google

Amazon
created on 2022-03-12

Clarifai
created on 2023-10-22

Imagga
created on 2022-03-12

Google
created on 2022-03-12

Microsoft
created on 2022-03-12