AI Data for Union League (portrait of seated businessmen) | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	54-64
Gender	Male, 99.9%
Happy	55.2%
Calm	35.2%
Angry	3.5%
Surprised	2.1%
Fear	1.3%
Disgusted	1.2%
Confused	0.9%
Sad	0.7%

AWS Rekognition

Age	52-60
Gender	Male, 100%
Happy	98.6%
Calm	0.5%
Sad	0.3%
Surprised	0.1%
Angry	0.1%
Disgusted	0.1%
Fear	0.1%
Confused	0.1%

AWS Rekognition

Age	66-76
Gender	Male, 100%
Calm	97.2%
Happy	1.6%
Angry	0.3%
Sad	0.3%
Confused	0.2%
Surprised	0.2%
Disgusted	0.1%
Fear	0.1%

AWS Rekognition

Age	47-53
Gender	Male, 100%
Happy	88.4%
Calm	5.6%
Sad	4.1%
Angry	0.5%
Disgusted	0.4%
Confused	0.3%
Surprised	0.3%
Fear	0.3%

AWS Rekognition

Age	48-56
Gender	Male, 100%
Calm	86.1%
Happy	5.3%
Angry	4.9%
Confused	1.2%
Disgusted	1%
Fear	0.7%
Sad	0.5%
Surprised	0.4%

AWS Rekognition

Age	49-57
Gender	Male, 99.8%
Calm	99.2%
Angry	0.3%
Surprised	0.2%
Sad	0.1%
Disgusted	0.1%
Fear	0.1%
Happy	0.1%
Confused	0%

AWS Rekognition

Age	59-67
Gender	Male, 100%
Calm	50%
Happy	33.6%
Surprised	7.4%
Disgusted	2.4%
Fear	2.4%
Angry	1.6%
Confused	1.5%
Sad	1.2%

AWS Rekognition

Age	57-65
Gender	Male, 99.9%
Happy	79.3%
Calm	15.4%
Sad	3%
Fear	0.6%
Angry	0.5%
Confused	0.4%
Surprised	0.4%
Disgusted	0.4%

AWS Rekognition

Age	54-64
Gender	Male, 99.7%
Happy	84.9%
Calm	9.2%
Surprised	2%
Sad	1%
Angry	0.9%
Fear	0.7%
Disgusted	0.6%
Confused	0.6%

AWS Rekognition

Age	39-47
Gender	Male, 100%
Happy	88.9%
Angry	5.6%
Calm	3.1%
Sad	0.7%
Surprised	0.6%
Disgusted	0.5%
Fear	0.3%
Confused	0.3%

AWS Rekognition

Age	54-64
Gender	Male, 100%
Calm	85.2%
Angry	7.7%
Happy	1.7%
Sad	1.4%
Surprised	1.4%
Disgusted	1.1%
Confused	0.9%
Fear	0.7%

AWS Rekognition

Age	63-73
Gender	Male, 100%
Happy	89.2%
Sad	6.7%
Disgusted	0.9%
Angry	0.8%
Confused	0.8%
Calm	0.7%
Surprised	0.6%
Fear	0.4%

AWS Rekognition

Age	73-83
Gender	Male, 94.8%
Calm	92%
Happy	3.5%
Surprised	1.4%
Sad	1.1%
Disgusted	0.8%
Angry	0.4%
Confused	0.4%
Fear	0.4%

AWS Rekognition

Age	51-59
Gender	Male, 99.9%
Happy	93.6%
Angry	1.8%
Sad	1%
Surprised	1%
Calm	0.9%
Confused	0.8%
Disgusted	0.7%
Fear	0.3%

AWS Rekognition

Age	56-64
Gender	Male, 100%
Happy	55.7%
Calm	32%
Sad	5.9%
Disgusted	1.8%
Surprised	1.4%
Angry	1.3%
Fear	1.3%
Confused	0.7%

AWS Rekognition

Age	54-64
Gender	Male, 99.9%
Calm	99.2%
Happy	0.2%
Sad	0.1%
Surprised	0.1%
Confused	0.1%
Disgusted	0.1%
Angry	0.1%
Fear	0.1%

AWS Rekognition

Age	53-61
Gender	Male, 99.9%
Calm	58.8%
Happy	34.5%
Surprised	3.2%
Angry	0.8%
Sad	0.7%
Fear	0.7%
Confused	0.7%
Disgusted	0.6%

AWS Rekognition

Age	63-73
Gender	Male, 100%
Calm	94.3%
Sad	2.2%
Angry	0.7%
Happy	0.7%
Confused	0.7%
Disgusted	0.6%
Surprised	0.4%
Fear	0.4%

AWS Rekognition

Age	54-64
Gender	Male, 100%
Happy	58.6%
Calm	14%
Confused	7%
Angry	6.6%
Surprised	5.1%
Sad	3.5%
Disgusted	2.6%
Fear	2.6%

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 likely
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 likely
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	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	Possible
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	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	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	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

Feature analysis

Amazon

Person	99.1%

Painting	86.7%

Tie	73.6%

Captions

Microsoft
created on 2022-01-23

a vintage photo of a group of people standing in front of a building	93.9%

a vintage photo of a group of people standing in front of a window	89.2%

a vintage photo of a group of people in front of a building	89.1%

Title Union League (portrait of seated businessmen)	Date 1940s
People Artist: Bachrach Studios, founded 1868	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.613

Person	99.1

Human	99.1

Person	98.7

Person	98.1

Person	98.1

Person	97.9

Person	97.6

Person	97.5

Person	97.1

Person	96.3

Person	94.8

Person	93.2

Altar	92.8

Church	92.8

Architecture	92.8

Building	92.8

Person	92.4

Crowd	88.2

Person	87.7

Audience	86.8

Art	86.7

Painting	86.7

Sitting	85.5

Person	85.4

Tie	73.6

Accessory	73.6

Accessories	73.6

Person	67.3

Person	66.3

Person	65.7

Indoors	60.9

Person	50

people	99.6

woman	98

art	97.6

wedding	97.4

indoors	97

girl	96.7

church	96.5

child	96.4

furniture	95.4

sit	95.4

group	95.3

portrait	95.2

room	95.1

man	94.7

bench	94.3

religion	93.6

seat	93.2

couple	93

chair	92.5

light	91.1

vestment	63.9

gown	51.5

architecture	44

church	39.8

outerwear	38.4

cathedral	36.9

building	35.3

religion	34.1

altar	33.9

catholic	31.8

interior	29.2

old	27.2

holy	24.1

clothing	23.4

ancient	23.3

religious	22.5

monument	22.4

inside	22.1

arch	21.4

light	21.4

historic	20.2

landmark	19.9

structure	19.9

cross	18.8

historical	17.9

stone	17.1

hall	16.8

art	16.3

god	16.3

faith	16.3

history	16.1

room	16.1

chapel	15.7

window	15.7

travel	15.5

tourism	14.8

catholicism	14.7

pray	14.5

city	14.1

covering	14

column	13.8

arches	13.7

night	13.3

consumer goods	12.9

sculpture	12.5

saint	12.5

gold	12.3

famous	12.1

culture	12

indoor	11.9

ceiling	11.8

worship	11.6

classroom	11.5

spirituality	11.5

statue	11.4

wall	11.3

chair	11.1

marble	10.7

medieval	10.6

indoors	10.5

house	10.4

sacred	9.7

prayer	9.7

palace	9.5

antique	9.5

door	9.5

painting	9

metropolitan	9

lamp	8.8

decoration	8.7

basilica	7.9

praying	7.8

people	7.8

ornament	7.8

golden	7.7

entrance	7.7

architectural	7.7

seat	7.4

anteroom	7.3

tourist	7.2

detail	7.2

home	7.2

love	7.1

Coat	90.1

Chair	88.5

Picture frame	86.4

Suit	79.6

Event	73.2

Classic	72.9

Vintage clothing	72.5

Monochrome	72.4

Formal wear	68.6

Room	68.1

Team	67.8

History	66.9

Sitting	65

Stock photography	62.3

Official	58.4

Monochrome photography	58.3

Art	57.1

Religious institute	56.3

Chapel	55.9

Arch	54.2

person	95.8

furniture	94

clothing	92.2

man	88.7

table	80.5

funeral	72.4

black	70.7

suit	69.3

old	64

white	62.8

chair	60.6

group	58.2

posing	44

several	11.1

interior objects	91.5%

streetview architecture	5.9%

cars vehicles	1.1%

Human Generated Data

Title

Union League (portrait of seated businessmen)

Date

1940s

People

Artist: Bachrach Studios, founded 1868

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.613

Human Generated Data

Title

Union League (portrait of seated businessmen)

People

Artist: Bachrach Studios, founded 1868

Date

1940s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.613

Machine Generated Data

Tags

Amazoncreated on 2022-01-23

Clarifaicreated on 2023-10-27

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

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 2022-01-23

Amazon
created on 2022-01-23

Clarifai
created on 2023-10-27

Imagga
created on 2022-01-23

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

Microsoft
created on 2022-01-23