Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 99.2 | |
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Human | 99.2 | |
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Person | 98.4 | |
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Person | 96.3 | |
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Person | 95 | |
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Person | 91.3 | |
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Interior Design | 82.9 | |
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Indoors | 82.9 | |
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Text | 79.8 | |
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Musical Instrument | 65.6 | |
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Leisure Activities | 61.4 | |
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Lute | 57.1 | |
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Paper | 55.7 | |
|
Clarifai
created on 2025-01-10
Imagga
created on 2022-06-04
old | 30.6 | |
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paper | 29.1 | |
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vintage | 26.5 | |
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newspaper | 25.9 | |
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retro | 24.6 | |
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grunge | 23.8 | |
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ancient | 22.5 | |
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product | 22.2 | |
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antique | 20.8 | |
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texture | 20.1 | |
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envelope | 19.2 | |
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creation | 19.1 | |
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aged | 19 | |
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document | 15.8 | |
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card | 15.7 | |
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dirty | 15.4 | |
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book jacket | 14.8 | |
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letter | 13.8 | |
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empty | 13.7 | |
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blank | 13.7 | |
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sepia | 13.6 | |
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jacket | 13.5 | |
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parchment | 13.4 | |
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page | 13 | |
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design | 12.9 | |
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rough | 12.8 | |
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damaged | 12.4 | |
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crumpled | 11.6 | |
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business | 11.5 | |
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book | 11.4 | |
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man | 11.4 | |
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container | 11.1 | |
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money | 11.1 | |
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message | 11 | |
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art | 10.2 | |
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note | 10.1 | |
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male | 10 | |
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drawing | 9.9 | |
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textured | 9.6 | |
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9.6 | ||
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worn | 9.5 | |
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building | 9.5 | |
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old fashioned | 9.5 | |
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people | 9.5 | |
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decoration | 9.2 | |
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world | 9.2 | |
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structure | 9.2 | |
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historic | 9.2 | |
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cash | 9.1 | |
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room | 9.1 | |
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currency | 9 | |
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person | 8.9 | |
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stamp | 8.8 | |
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manuscript | 8.8 | |
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wrapping | 8.8 | |
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text | 8.7 | |
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artistic | 8.7 | |
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postcard | 8.6 | |
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bill | 8.6 | |
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grungy | 8.5 | |
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sheet | 8.5 | |
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portrait | 8.4 | |
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frame | 8.3 | |
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banking | 8.3 | |
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classroom | 8.3 | |
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pattern | 8.2 | |
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religion | 8.1 | |
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history | 8 | |
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postmark | 7.9 | |
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postage | 7.9 | |
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postal | 7.8 | |
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architecture | 7.8 | |
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stains | 7.8 | |
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burnt | 7.8 | |
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space | 7.8 | |
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cardboard | 7.7 | |
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post | 7.6 | |
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decorative | 7.5 | |
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dollar | 7.4 | |
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closeup | 7.4 | |
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cover | 7.4 | |
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teacher | 7.3 | |
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daily | 7.2 | |
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copy | 7.1 | |
|
Google
created on 2022-06-04
Picture frame | 92.9 | |
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Art | 80.8 | |
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Suit | 79.1 | |
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Font | 76.9 | |
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Chair | 76.3 | |
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Vintage clothing | 72.1 | |
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Event | 68 | |
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Paper product | 65.9 | |
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History | 65.8 | |
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Room | 65.5 | |
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Visual arts | 65.1 | |
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Paper | 63.1 | |
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Illustration | 62.1 | |
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Sitting | 58.9 | |
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Retro style | 55.8 | |
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Collection | 52.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.3% |
Calm | 72.6% |
Confused | 16% |
Surprised | 8.2% |
Fear | 6.1% |
Sad | 5.1% |
Disgusted | 0.6% |
Angry | 0.5% |
Happy | 0.1% |

AWS Rekognition
Age | 2-10 |
Gender | Female, 99.9% |
Calm | 69.9% |
Sad | 39.2% |
Surprised | 7.4% |
Fear | 6.5% |
Confused | 1% |
Angry | 0.7% |
Disgusted | 0.5% |
Happy | 0.5% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 99.9% |
Sad | 95.7% |
Disgusted | 30.7% |
Calm | 8.8% |
Surprised | 8.5% |
Fear | 6.6% |
Confused | 3.2% |
Angry | 2.2% |
Happy | 1% |

AWS Rekognition
Age | 2-8 |
Gender | Female, 97.7% |
Calm | 59.3% |
Sad | 29.8% |
Surprised | 13.1% |
Fear | 6.3% |
Happy | 5.5% |
Disgusted | 1.9% |
Angry | 1.3% |
Confused | 0.7% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.6% |
Sad | 100% |
Calm | 7.6% |
Surprised | 6.3% |
Fear | 6% |
Confused | 0.3% |
Angry | 0.2% |
Disgusted | 0.2% |
Happy | 0.1% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

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
Categories
Imagga
text visuals | 57.3% | |
| ||
paintings art | 30.9% | |
| ||
interior objects | 4% | |
| ||
events parties | 2.9% | |
| ||
food drinks | 2.1% | |
| ||
streetview architecture | 1.4% | |
|
Captions
Microsoft
created by unknown on 2022-06-04
a person posing for a photo | 64.6% | |
| ||
an old photo of a person | 61.4% | |
| ||
old photo of a person | 59.8% | |
|
Text analysis
Amazon

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CHARACTER OF WORK

become

CHARACTER

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for

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children

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settlement

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knitting,

work

established

husband

home

LOCUST

LOCUST STREET SETTLEMENT

head

worker

gardening

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A settlement for colored people.

The work is conducted in clubs and classes in

SETTLEMENT

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cooking,

basketry,

Virginia.

Secretory

makers.

"Te

good

of the Building and Logn Society

cooking, sawing, basketry, crocheting and knitting,

The husband is Secretory and Manager

"Te help girls and women to become good home makers. ..

classes

needlework, singing, gardening and games,

people.

to

sawing,

und

crocheting

1890.

founder

women

ton,

clubs

needlework,

games,

Logn

..

LOCUST STREET SETTLEMENT
Hampton, Virginia.
A settlement for colored people.
An outgrowth of Hampton Institute established 1890.
"Te help girls and women to become geed home makers."
CHARACTER OF WORK
The werk is conducted in eluba and classes in
eorking, sewing, busketry, crocheting and knitting,
needlework, singing, gardening and games,
sa
Y
Po
The founder and head worker with her husband and
children The husband is Secretary and Manager
of the Building and Loan Society

LOCUST

STREET

SETTLEMENT

Hampton

,

Virginia

.

A

settlement

for

colored

people

An

outgrowth

of

Institute

established

1890

"

Te

help

girls

and

women

to

become

geed

home

makers

CHARACTER

OF

WORK

The

werk

is

conducted

in

eluba

classes

eorking

sewing

busketry

crocheting

knitting

needlework

singing

gardening

games

sa

Y

Po

founder

head

worker

with

her

husband

children

Secretary

Manager

the

Building

Loan

Society