Machine Generated Data
Tags
Amazon
created on 2019-06-04
Indoors | 99.3 | |
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Room | 99.3 | |
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Person | 99.2 | |
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Human | 99.2 | |
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Person | 98.9 | |
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Person | 98.6 | |
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Person | 97.7 | |
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Interior Design | 96.8 | |
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Person | 96 | |
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Poster | 95.4 | |
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Advertisement | 95.4 | |
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Crowd | 93.2 | |
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Theater | 89.8 | |
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Musical Instrument | 82.5 | |
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Art | 82.3 | |
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Painting | 82.3 | |
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Musician | 73.3 | |
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Person | 69.6 | |
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Person | 67.5 | |
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Concert | 66.6 | |
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Person | 66.4 | |
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People | 61.5 | |
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Music Band | 60.9 | |
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Orchestra | 58.3 | |
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Person | 51.8 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Photograph | 95.9 | |
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Text | 86.9 | |
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Snapshot | 84.5 | |
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Room | 71.4 | |
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Adaptation | 67 | |
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History | 62.6 | |
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Photography | 62.4 | |
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Illustration | 54.5 | |
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Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
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AWS Rekognition
Age | 26-44 |
Gender | Male, 54.7% |
Disgusted | 45% |
Happy | 45.1% |
Sad | 47.9% |
Calm | 51.3% |
Angry | 45.4% |
Confused | 45.2% |
Surprised | 45.1% |
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AWS Rekognition
Age | 26-43 |
Gender | Male, 52.4% |
Surprised | 45.8% |
Disgusted | 45.4% |
Angry | 46.5% |
Calm | 51% |
Sad | 45.6% |
Happy | 45.4% |
Confused | 45.3% |
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AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Happy | 49.5% |
Disgusted | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.7% |
Sad | 49.7% |
Calm | 49.8% |
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AWS Rekognition
Age | 20-38 |
Gender | Male, 50.2% |
Sad | 49.6% |
Surprised | 49.9% |
Calm | 49.8% |
Happy | 49.5% |
Disgusted | 49.5% |
Confused | 49.6% |
Angry | 49.6% |
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AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Calm | 49.6% |
Sad | 50.2% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
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AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Happy | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Angry | 49.5% |
Calm | 50.1% |
Sad | 49.7% |
Confused | 49.5% |
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AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Surprised | 49.6% |
Angry | 49.6% |
Calm | 49.6% |
Confused | 49.6% |
Disgusted | 49.7% |
Happy | 49.7% |
Sad | 49.8% |
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AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Calm | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Sad | 50% |
Angry | 49.6% |
Disgusted | 49.6% |
Confused | 49.5% |
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AWS Rekognition
Age | 16-27 |
Gender | Male, 50.1% |
Disgusted | 49.7% |
Happy | 49.7% |
Confused | 49.5% |
Sad | 49.5% |
Angry | 49.5% |
Surprised | 49.6% |
Calm | 49.9% |
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AWS Rekognition
Age | 16-27 |
Gender | Male, 50.3% |
Surprised | 49.6% |
Calm | 49.6% |
Sad | 50% |
Happy | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
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AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Happy | 49.6% |
Disgusted | 49.5% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.8% |
Calm | 49.9% |
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AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Disgusted | 49.5% |
Sad | 49.6% |
Surprised | 49.7% |
Calm | 49.9% |
Angry | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
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AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Calm | 49.5% |
Disgusted | 49.6% |
Surprised | 49.6% |
Sad | 49.9% |
Happy | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
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AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Sad | 50.3% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |
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AWS Rekognition
Age | 9-14 |
Gender | Male, 50.3% |
Sad | 50.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
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Microsoft Cognitive Services
Age | 37 |
Gender | Male |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 67.7% | |
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people portraits | 13.6% | |
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interior objects | 9.6% | |
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food drinks | 7% | |
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Captions
Microsoft
created on 2019-06-04
a vintage photo of a group of people in a room | 86.5% | |
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a vintage photo of a group of people standing in front of a building | 69.7% | |
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a vintage photo of a group of people standing in front of a book | 53.4% | |
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Text analysis
Amazon
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People's
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Imparting
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The
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Foreign
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Promoting
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Institute,
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Born
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The People's Institute, New York City
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New
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Standards
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American
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Agencies
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Immigrant
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Assimilation
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City
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Agencies Promoting Assimilation of the Immigrant
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York
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Imparting American Standards to the Foreign Born
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the
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Young
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of
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Benevo
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to
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1900
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lent
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Young Mens Benevo lent A3201
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April 1900
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Mens
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April
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A3201
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Poiy
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Agencies Promoting Assimilation of the Immigrant
Imparting American Standards to the Foreign Born
The People's Institute, New York City
Young Mens Benevolent Associaton
April 1900
4.299
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Agencies
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Promoting
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Assimilation
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of
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the
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Immigrant
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Imparting
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American
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Standards
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to
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Foreign
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Born
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The
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People's
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Institute,
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New
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York
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City
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Young
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Mens
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Benevolent
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Associaton
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April
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1900
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4.299