AI Data for Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view." | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age	48-68
Gender	Male, 54%
Disgusted	45.8%
Surprised	45.5%
Confused	45.2%
Sad	45.3%
Happy	47.1%
Calm	50.1%
Angry	46.1%

AWS Rekognition

Age	26-43
Gender	Male, 54.6%
Sad	45.8%
Confused	45.4%
Disgusted	45.1%
Calm	51.1%
Happy	45.1%
Angry	47.3%
Surprised	45.3%

AWS Rekognition

Age	38-57
Gender	Male, 54.9%
Sad	45.3%
Calm	45.8%
Angry	53.6%
Disgusted	45%
Confused	45.2%
Surprised	45.1%
Happy	45%

AWS Rekognition

Age	38-59
Gender	Male, 54.9%
Calm	47.2%
Disgusted	45.4%
Angry	46%
Sad	50.4%
Surprised	45.2%
Confused	45.6%
Happy	45.2%

AWS Rekognition

Age	26-43
Gender	Male, 54.8%
Surprised	45.3%
Calm	48.5%
Sad	47.4%
Happy	45%
Confused	46%
Angry	47.6%
Disgusted	45.1%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Calm	46.2%
Disgusted	45.4%
Angry	45.5%
Sad	51.3%
Surprised	45.8%
Confused	45.5%
Happy	45.2%

AWS Rekognition

Age	60-90
Gender	Male, 53.1%
Angry	45.5%
Happy	47.1%
Disgusted	45.6%
Sad	46%
Confused	45.4%
Surprised	45.5%
Calm	50%

AWS Rekognition

Age	48-68
Gender	Male, 54.9%
Happy	45.2%
Surprised	45.3%
Confused	45.9%
Angry	47%
Sad	47%
Disgusted	45.3%
Calm	49.3%

AWS Rekognition

Age	38-57
Gender	Male, 53.9%
Happy	45.6%
Surprised	46%
Sad	45.4%
Confused	45.2%
Disgusted	45.1%
Calm	52.2%
Angry	45.3%

AWS Rekognition

Age	38-59
Gender	Male, 54.4%
Sad	54.6%
Confused	45%
Disgusted	45%
Angry	45.2%
Happy	45.1%
Surprised	45%
Calm	45.1%

AWS Rekognition

Age	27-44
Gender	Male, 51.9%
Sad	49.2%
Angry	48.1%
Happy	45.1%
Disgusted	45.3%
Calm	46.6%
Surprised	45.4%
Confused	45.3%

AWS Rekognition

Age	57-77
Gender	Male, 53.1%
Angry	49.2%
Calm	48.4%
Happy	45.2%
Sad	46.1%
Disgusted	45.4%
Surprised	45.4%
Confused	45.3%

AWS Rekognition

Age	45-66
Gender	Female, 50.2%
Sad	49.6%
Confused	49.5%
Calm	49.5%
Angry	50.1%
Disgusted	49.7%
Happy	49.5%
Surprised	49.5%

AWS Rekognition

Age	38-59
Gender	Male, 50.4%
Happy	49.5%
Angry	50.1%
Calm	49.7%
Surprised	49.5%
Disgusted	49.6%
Confused	49.5%
Sad	49.6%

AWS Rekognition

Age	49-69
Gender	Male, 50%
Disgusted	49.6%
Surprised	49.6%
Angry	49.6%
Happy	49.6%
Sad	49.8%
Calm	49.7%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Disgusted	49.5%
Surprised	49.5%
Confused	49.5%
Sad	50.3%
Happy	49.5%
Calm	49.5%
Angry	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Calm	49.8%
Disgusted	49.5%
Sad	49.9%
Happy	49.7%
Surprised	49.5%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	15-25
Gender	Female, 50.2%
Angry	49.6%
Sad	50.2%
Happy	49.6%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%
Calm	49.6%

AWS Rekognition

Age	20-38
Gender	Male, 50.5%
Calm	49.6%
Confused	49.5%
Happy	49.5%
Angry	49.5%
Surprised	49.5%
Disgusted	49.5%
Sad	50.3%

AWS Rekognition

Age	27-44
Gender	Female, 50.4%
Confused	49.5%
Sad	50.1%
Disgusted	49.5%
Calm	49.6%
Happy	49.6%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.2%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%
Calm	49.5%
Happy	49.5%
Angry	50.4%
Sad	49.6%

AWS Rekognition

Age	20-38
Gender	Male, 50.2%
Angry	49.8%
Calm	49.8%
Happy	49.6%
Sad	49.7%
Disgusted	49.5%
Surprised	49.6%
Confused	49.6%

AWS Rekognition

Age	6-13
Gender	Male, 50.5%
Sad	49.6%
Confused	49.5%
Calm	49.5%
Angry	49.6%
Disgusted	50.3%
Happy	49.5%
Surprised	49.5%

AWS Rekognition

Age	16-27
Gender	Female, 50.1%
Surprised	49.5%
Disgusted	49.5%
Sad	50.4%
Angry	49.5%
Calm	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	27-44
Gender	Male, 50.4%
Surprised	49.5%
Angry	49.5%
Sad	49.5%
Disgusted	50.3%
Happy	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

Age	23-38
Gender	Male, 50%
Calm	49.7%
Surprised	49.5%
Confused	49.5%
Angry	49.6%
Sad	49.9%
Happy	49.7%
Disgusted	49.5%

AWS Rekognition

Age	20-38
Gender	Male, 50.5%
Disgusted	49.5%
Calm	49.6%
Confused	49.8%
Sad	49.8%
Angry	49.7%
Surprised	49.6%
Happy	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Disgusted	49.6%
Calm	49.7%
Confused	49.7%
Sad	49.6%
Angry	49.8%
Surprised	49.6%
Happy	49.5%

AWS Rekognition

Age	35-52
Gender	Female, 50.5%
Angry	49.5%
Surprised	49.5%
Sad	50.4%
Disgusted	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.6%

AWS Rekognition

Age	15-25
Gender	Female, 50.3%
Confused	49.5%
Sad	49.6%
Happy	49.6%
Disgusted	49.9%
Surprised	49.6%
Angry	49.7%
Calm	49.6%

Microsoft Cognitive Services

Age	33
Gender	Male

Microsoft Cognitive Services

Age	48
Gender	Male

Feature analysis

Amazon

Person	99.2%

Captions

Microsoft
created on 2019-06-07

a group of people in a room	89.6%

a group of people standing in a room	85.7%

a group of people standing next to a window	66.2%

Title Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view."	Date c. 1903
People Artist: Unidentified Artist,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.786.2

Person	99.2

Human	99.2

School	98.9

Indoors	98.9

Room	98.9

Classroom	98.9

Person	98.8

Person	98.5

Person	98.5

Person	98.4

Person	98.4

Person	97.2

Person	97.2

Person	95

Person	84.5

Person	79.3

Building	78.2

Factory	76.7

Restaurant	68.8

Cafeteria	68.8

Person	66.5

Person	66.2

Person	65.8

Person	49.2

people	99.9

many	99.5

group	98.3

group together	97.7

adult	96.5

man	94.1

administration	92.1

woman	89.4

furniture	88.2

crowd	88.2

war	87.7

room	86.2

military	86.2

indoors	86.2

child	83.3

leader	82.3

wear	80.7

education	80.6

sit	73.6

employee	72.5

dairy	33

hall	27.3

building	27

room	21

classroom	20.5

architecture	18

city	17.4

travel	16.9

structure	14.4

old	13.9

landscape	13.4

prison	13.2

tourism	13.2

water	12.7

sky	12.1

wall	12

restaurant	11.7

group	11.3

people	11.2

cafeteria	11

house	10.9

life	10.7

correctional institution	10.6

interior	10.6

crowd	10.6

chair	10.5

urban	10.5

bird	10.2

scene	9.5

table	9.5

walking	9.5

lake	9.1

park	9.1

man	8.7

day	8.6

column	8.3

vacation	8.2

history	8

penal institution	8

summer	7.7

culture	7.7

traditional	7.5

outdoors	7.5

town	7.4

historic	7.3

tourist	7.2

river	7.1

male	7.1

Photograph	95.8

Snapshot	84.1

Class	80.3

Room	65.7

History	54.1

State school	53.2

Team	52.3

Building	50.8

Crowd	50.7

person	95.9

indoor	92.5

clothing	90.4

table	87.9

man	74.5

group	66.2

old	65.8

school	56.8

clothes	16.2

interior objects	33.3%

streetview architecture	33.1%

paintings art	18.2%

people portraits	4.3%

food drinks	3.5%

events parties	3.4%

pets animals	2.4%

Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view."

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.786.2

Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view."

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.786.2

Machine Generated Data

Tags

Amazoncreated on 2019-06-07

Clarifaicreated on 2019-06-07

Imaggacreated on 2019-06-07

Googlecreated on 2019-06-07

Microsoftcreated on 2019-06-07

Color Analysis

Face analysis

Amazon

Microsoft

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-07

Text analysis

Google

Amazon
created on 2019-06-07

Clarifai
created on 2019-06-07

Imagga
created on 2019-06-07

Google
created on 2019-06-07

Microsoft
created on 2019-06-07

Microsoft
created on 2019-06-07