Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
shop | 35.5 | |
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old | 27.8 | |
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barbershop | 27.7 | |
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mercantile establishment | 26.7 | |
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architecture | 26.5 | |
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sculpture | 22.9 | |
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art | 22.7 | |
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antique | 22.4 | |
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history | 22.3 | |
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case | 22.2 | |
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ancient | 21.6 | |
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building | 20.6 | |
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historic | 18.3 | |
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place of business | 17.8 | |
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vintage | 17.4 | |
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historical | 16.9 | |
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city | 16.6 | |
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statue | 16.4 | |
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culture | 14.5 | |
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landmark | 14.4 | |
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travel | 14.1 | |
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monument | 14 | |
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aged | 13.6 | |
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tourism | 13.2 | |
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retro | 12.3 | |
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famous | 12.1 | |
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bakery | 12 | |
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glass | 11.9 | |
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grunge | 11.9 | |
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structure | 11.6 | |
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stone | 11.2 | |
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vessel | 11.1 | |
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house | 10.9 | |
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religion | 10.7 | |
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galley | 10.7 | |
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vehicle | 10.7 | |
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god | 10.5 | |
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temple | 10.4 | |
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window | 10.2 | |
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church | 10.2 | |
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decoration | 10.1 | |
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marble | 9.9 | |
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paper | 9.4 | |
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frame | 9.1 | |
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craft | 9.1 | |
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establishment | 8.9 | |
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artistic | 8.7 | |
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architectural | 8.6 | |
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design | 8.4 | |
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freight car | 8.3 | |
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exterior | 8.3 | |
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table | 8.1 | |
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interior | 8 | |
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baroque | 7.8 | |
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wall | 7.7 | |
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cathedral | 7.7 | |
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drawing | 7.6 | |
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bill | 7.6 | |
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decorative | 7.5 | |
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place | 7.4 | |
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symbol | 7.4 | |
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gold | 7.4 | |
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light | 7.3 | |
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water | 7.3 | |
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letter | 7.3 | |
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currency | 7.2 | |
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celebration | 7.2 | |
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column | 7 | |
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Google
created on 2019-06-05
Photograph | 95.3 | |
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Snapshot | 83.6 | |
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Art | 79.3 | |
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Adaptation | 67 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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History | 62.6 | |
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Photography | 62.4 | |
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Illustration | 60.2 | |
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Visual arts | 59.3 | |
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Painting | 50.4 | |
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Color Analysis
Face analysis
Amazon
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AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 45.2% |
Disgusted | 45.1% |
Calm | 53.4% |
Surprised | 45.2% |
Happy | 45.6% |
Sad | 45.4% |
Confused | 45.1% |
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AWS Rekognition
Age | 27-44 |
Gender | Female, 53.3% |
Disgusted | 45.7% |
Sad | 46.1% |
Calm | 46.8% |
Surprised | 45.9% |
Angry | 49% |
Happy | 45.6% |
Confused | 46% |
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AWS Rekognition
Age | 16-27 |
Gender | Female, 50.7% |
Angry | 45% |
Confused | 45% |
Calm | 45% |
Disgusted | 45% |
Happy | 55% |
Surprised | 45% |
Sad | 45% |
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AWS Rekognition
Age | 17-27 |
Gender | Female, 53.5% |
Surprised | 45.3% |
Happy | 45.2% |
Confused | 45.1% |
Calm | 53.8% |
Disgusted | 45.2% |
Angry | 45.2% |
Sad | 45.3% |
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AWS Rekognition
Age | 26-43 |
Gender | Female, 53.3% |
Calm | 49.6% |
Happy | 46% |
Confused | 45.5% |
Sad | 46.6% |
Angry | 46.2% |
Surprised | 45.6% |
Disgusted | 45.4% |
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AWS Rekognition
Age | 23-38 |
Gender | Female, 52% |
Angry | 47.3% |
Surprised | 45.6% |
Sad | 48.3% |
Confused | 45.4% |
Calm | 47.5% |
Disgusted | 45.3% |
Happy | 45.5% |
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AWS Rekognition
Age | 26-43 |
Gender | Male, 54.6% |
Sad | 46% |
Disgusted | 45.2% |
Surprised | 45.3% |
Happy | 45.3% |
Confused | 45.4% |
Calm | 52.4% |
Angry | 45.5% |
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AWS Rekognition
Age | 26-43 |
Gender | Female, 54.4% |
Angry | 45.5% |
Disgusted | 45.1% |
Calm | 50.5% |
Surprised | 45.2% |
Happy | 47.3% |
Sad | 46.3% |
Confused | 45.1% |
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AWS Rekognition
Age | 23-38 |
Gender | Female, 54.1% |
Surprised | 45.2% |
Sad | 49.9% |
Angry | 45.4% |
Happy | 45.2% |
Confused | 45.1% |
Disgusted | 45.1% |
Calm | 49.1% |
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AWS Rekognition
Age | 14-25 |
Gender | Female, 53.8% |
Happy | 45.1% |
Angry | 45.2% |
Calm | 50.7% |
Confused | 45.2% |
Disgusted | 45.3% |
Surprised | 45.1% |
Sad | 48.4% |
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AWS Rekognition
Age | 35-52 |
Gender | Male, 52.6% |
Happy | 46.7% |
Sad | 50.9% |
Confused | 45.4% |
Calm | 45.7% |
Angry | 45.5% |
Disgusted | 45.4% |
Surprised | 45.3% |
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AWS Rekognition
Age | 23-38 |
Gender | Female, 51.7% |
Angry | 46.8% |
Calm | 45.6% |
Sad | 50.5% |
Surprised | 45.3% |
Disgusted | 46.2% |
Happy | 45.3% |
Confused | 45.3% |
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AWS Rekognition
Age | 20-38 |
Gender | Male, 53.8% |
Angry | 45.5% |
Happy | 45.6% |
Confused | 45.2% |
Surprised | 45.2% |
Sad | 50.8% |
Disgusted | 45.1% |
Calm | 47.6% |
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AWS Rekognition
Age | 26-44 |
Gender | Female, 54.9% |
Calm | 48% |
Angry | 45.7% |
Happy | 47.7% |
Sad | 47% |
Surprised | 45.6% |
Confused | 45.5% |
Disgusted | 45.5% |
Feature analysis
Categories
Imagga
interior objects | 98.8% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people in a room | 88.3% | |
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a vintage photo of some people in a room | 88.2% | |
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an old photo of a group of people in a room | 88% | |
|
Text analysis
Amazon
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story
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story Telling.
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Telling.
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STh
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Stary Telling
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Stary
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Telling