Machine Generated Data
Tags
Amazon
created on 2019-03-22
Person | 98.6 | |
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Human | 98.6 | |
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Furniture | 97 | |
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Sitting | 92.9 | |
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Person | 92 | |
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Table | 90.2 | |
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Overcoat | 88.6 | |
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Coat | 88.6 | |
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Clothing | 88.6 | |
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Apparel | 88.6 | |
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Desk | 87.3 | |
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Suit | 87 | |
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Person | 86.7 | |
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Tie | 79.7 | |
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Accessories | 79.7 | |
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Accessory | 79.7 | |
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Text | 74.7 | |
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LCD Screen | 70.4 | |
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Screen | 70.4 | |
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Display | 70.4 | |
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Monitor | 70.4 | |
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Electronics | 70.4 | |
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Leisure Activities | 65.6 | |
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Photo | 61.2 | |
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Face | 61.2 | |
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Photography | 61.2 | |
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Portrait | 61.2 | |
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Crowd | 58.8 | |
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Indoors | 58.2 | |
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Glasses | 58.1 | |
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Tuxedo | 57 | |
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Shelf | 56 | |
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Word | 55.7 | |
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Office Building | 55.5 | |
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Building | 55.5 | |
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Clarifai
created on 2019-03-22
Imagga
created on 2019-03-22
Google
created on 2019-03-22
White-collar worker | 71 | |
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Employment | 67.6 | |
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Businessperson | 59.1 | |
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History | 54.1 | |
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Color Analysis
Face analysis
Amazon
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AWS Rekognition
Age | 35-53 |
Gender | Male, 54.7% |
Surprised | 45.2% |
Disgusted | 45.1% |
Sad | 53.1% |
Happy | 45.1% |
Angry | 45.5% |
Confused | 45.2% |
Calm | 45.8% |
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AWS Rekognition
Age | 38-59 |
Gender | Male, 98.5% |
Disgusted | 0.9% |
Calm | 63.9% |
Surprised | 2.4% |
Happy | 12.8% |
Sad | 7.7% |
Confused | 2.4% |
Angry | 9.9% |
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AWS Rekognition
Age | 35-52 |
Gender | Male, 54.9% |
Happy | 45.1% |
Sad | 46.1% |
Calm | 53.4% |
Disgusted | 45.1% |
Surprised | 45% |
Confused | 45.1% |
Angry | 45.2% |
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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 | 44.6% | |
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food drinks | 23.7% | |
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people portraits | 12.1% | |
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streetview architecture | 9.3% | |
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nature landscape | 3.8% | |
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pets animals | 3.2% | |
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interior objects | 1.8% | |
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Captions
Microsoft
created on 2019-03-22
John Lindsay et al. sitting at a desk | 91.8% | |
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John Lindsay et al. sitting at a table | 85.7% | |
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John Lindsay et al. sitting around a table | 85.2% | |
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