Human Generated Data

Title

Charity, Children: United States. New Hampshire. Nashua. St. Joseph's Orphanage: New Hampshire State Charitable and Correctional Institutions: Music and Kindergarten Room.

Date

c. 1900

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Charity, Children: United States. New Hampshire. Nashua. St. Joseph's Orphanage: New Hampshire State Charitable and Correctional Institutions: Music and Kindergarten Room.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Grand Piano 99.8
Piano 99.8
Leisure Activities 99.8
Musical Instrument 99.8
Furniture 94.4
Chair 94.4
Person 91.8
Human 91.8
Person 89.9
Person 89.2
Person 82.2
Chair 78.1
Horse 74.3
Mammal 74.3
Animal 74.3
Person 56.9
Person 50.6
Person 41.6

Clarifai

people 100
many 99.8
group together 99.7
group 99.4
adult 98.8
vehicle 97.5
man 96
administration 95.3
furniture 95.1
war 94.9
military 93.9
room 93.6
crowd 92
leader 90.8
transportation system 90.6
woman 89.3
chair 88.7
watercraft 86.2
home 86.2
wear 84.1

Imagga

snow 68.9
carriage 34.4
weather 30.4
travel 23.9
winter 23.8
horse cart 21.8
landscape 21.6
room 20.4
cold 18.9
cart 18.7
classroom 17.3
sky 16.6
tree 16.1
wheeled vehicle 16.1
trees 16
resort 16
city 15.8
scene 15.6
transportation 15.2
rural 15
beach 13.7
horse 13.4
outdoors 13.4
chair 13.4
vacation 13.1
wagon 12.7
water 12.7
sea 12.5
wood 12.5
sand 12.5
outdoor 12.2
street 12
architecture 11.7
snowy 11.7
summer 11.6
park 11.5
sun 11.3
vehicle 11.2
people 11.2
house 10.9
road 10.8
holiday 10.7
urban 10.5
old 10.4
scenery 9.9
tourism 9.9
seat 9.8
farm 9.8
mountain 9.8
frozen 9.5
empty 9.4
day 9.4
season 9.4
tourist 9.1
building 9
forest 8.7
frost 8.6
ice 8.5
field 8.4
ocean 8.3
transport 8.2
fence 8.2
bench 8.2
furniture 7.8
tropical 7.7
palm 7.5
vintage 7.4
light 7.3
island 7.3
peaceful 7.3
morning 7.2
recreation 7.2
male 7.1
interior 7.1
scenic 7
seasonal 7

Google

Room 80.8
Black-and-white 68.3
Architecture 65.5
Building 63.7
Table 58.6
Crowd 57.8
History 57.6
Monochrome 54.4
Interior design 54.3
House 53.7
Team 52.3
Style 51

Microsoft

person 93.6
floor 92.7
indoor 91
old 50.1
several 20.6

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 50%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Angry 49.7%
Happy 49.5%
Calm 49.5%
Disgusted 50.1%
Confused 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.7%
Angry 49.6%
Disgusted 49.5%
Calm 49.8%
Sad 49.7%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Disgusted 49.5%
Angry 49.7%
Happy 49.6%
Sad 49.6%
Confused 49.6%
Calm 50.1%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.7%
Sad 49.6%
Confused 49.5%
Calm 49.7%
Surprised 49.6%
Disgusted 49.9%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Surprised 49.6%
Angry 49.7%
Sad 49.9%
Disgusted 49.5%
Calm 49.7%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 2-5
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Calm 49.7%
Sad 49.9%
Disgusted 49.5%
Confused 49.8%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Sad 49.8%
Happy 49.6%
Angry 49.7%
Disgusted 49.7%
Surprised 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.3%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.6%
Calm 49.9%
Surprised 49.6%
Angry 49.7%
Sad 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-53
Gender Female, 50.5%
Surprised 49.5%
Calm 50.3%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.5%
Sad 49.6%
Happy 49.6%
Calm 50.1%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Confused 49.5%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Sad 50%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Calm 50.1%
Sad 49.8%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Surprised 49.5%
Sad 49.6%
Calm 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Calm 49.6%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.5%
Sad 49.6%
Calm 50.4%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Chair 94.4%
Person 91.8%
Horse 74.3%

Captions

Microsoft

a vintage photo of a group of people in a room 94.7%
a vintage photo of a group of people standing in a room 92.1%
a vintage photo of some people in a room 92%