Machine Generated Data
Tags
Amazon
created on 2019-05-29
Apparel | 97.1 | |
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Clothing | 97.1 | |
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Human | 93.8 | |
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Female | 89.7 | |
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Person | 86.2 | |
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Fashion | 79.2 | |
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Gown | 79.2 | |
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Woman | 77.3 | |
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Nature | 77.2 | |
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Robe | 76.4 | |
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Evening Dress | 76.4 | |
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Outdoors | 76.2 | |
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Leisure Activities | 61.8 | |
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Snow | 60.2 | |
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Dance Pose | 58.5 | |
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Wedding Gown | 57.4 | |
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Wedding | 57.4 | |
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Monitor | 57.1 | |
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Screen | 57.1 | |
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LCD Screen | 57.1 | |
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Display | 57.1 | |
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Electronics | 57.1 | |
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Coat | 56.9 | |
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Overcoat | 56.9 | |
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Suit | 56.9 | |
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Home Decor | 56.5 | |
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Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
protective covering | 33.2 | |
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mosquito net | 31.5 | |
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covering | 22.2 | |
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windshield | 19.7 | |
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water | 19.3 | |
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negative | 18.1 | |
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wet | 17 | |
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screen | 16.7 | |
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tub | 15.6 | |
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groom | 15.3 | |
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sexy | 15.2 | |
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person | 13.7 | |
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human | 13.5 | |
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light | 13.4 | |
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film | 13.3 | |
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body | 12.8 | |
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vessel | 12.7 | |
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clean | 12.5 | |
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bath | 12.3 | |
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attractive | 11.9 | |
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skin | 11.8 | |
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model | 11.7 | |
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adult | 11.6 | |
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shower | 11.4 | |
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pretty | 11.2 | |
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people | 11.1 | |
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health | 11.1 | |
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man | 10.7 | |
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black | 10.2 | |
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face | 9.9 | |
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dress | 9.9 | |
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fashion | 9.8 | |
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portrait | 9.7 | |
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photographic paper | 9.6 | |
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hair | 9.5 | |
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stream | 9.4 | |
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relaxation | 9.2 | |
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summer | 9 | |
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sun | 8.8 | |
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forest | 8.7 | |
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lifestyle | 8.7 | |
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bathroom | 8.6 | |
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fresh | 8.5 | |
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art | 8.5 | |
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sensuality | 8.2 | |
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happy | 8.1 | |
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lady | 8.1 | |
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spa | 8.1 | |
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natural | 8 | |
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fountain | 7.9 | |
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bathtub | 7.9 | |
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washing | 7.8 | |
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falling | 7.7 | |
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splash | 7.6 | |
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head | 7.6 | |
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elegance | 7.5 | |
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technology | 7.4 | |
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environment | 7.4 | |
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purity | 7.4 | |
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weather | 7.3 | |
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digital | 7.3 | |
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cool | 7.1 | |
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night | 7.1 | |
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happiness | 7 | |
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season | 7 | |
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modern | 7 | |
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Google
created on 2019-05-29
Photograph | 95.1 | |
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Transparent material | 89.5 | |
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Snapshot | 82 | |
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Glass | 75.6 | |
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Transparency | 68.5 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Black-and-white | 56.4 | |
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Monochrome | 54.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-38 |
Gender | Male, 50.4% |
Angry | 49.6% |
Calm | 49.8% |
Sad | 49.5% |
Disgusted | 49.7% |
Surprised | 49.6% |
Happy | 49.7% |
Confused | 49.5% |
Feature analysis
Amazon
Person | 86.2% | |
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