Classifying a object detected in an image into movable or non movable sets





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Is there any way to classify the object (detected in an image through YOLO e.g. ball, car, tree etc.) into movable and non-movable sets?
a movable object can be moved in the real-world e.g ball, card, person and the non-movable object doesn't move in the real-world e.g. tree.
I'm thinking to use WordNet to classify the name detected. Let me know if I should think in a different direction?






image object-detection wordnet







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    Is there any way to classify the object (detected in an image through YOLO e.g. ball, car, tree etc.) into movable and non-movable sets?
    a movable object can be moved in the real-world e.g ball, card, person and the non-movable object doesn't move in the real-world e.g. tree.
    I'm thinking to use WordNet to classify the name detected. Let me know if I should think in a different direction?






    image object-detection wordnet







    share|improve this question

























      0












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      Is there any way to classify the object (detected in an image through YOLO e.g. ball, car, tree etc.) into movable and non-movable sets?
      a movable object can be moved in the real-world e.g ball, card, person and the non-movable object doesn't move in the real-world e.g. tree.
      I'm thinking to use WordNet to classify the name detected. Let me know if I should think in a different direction?






      image object-detection wordnet







      share|improve this question














      Is there any way to classify the object (detected in an image through YOLO e.g. ball, car, tree etc.) into movable and non-movable sets?
      a movable object can be moved in the real-world e.g ball, card, person and the non-movable object doesn't move in the real-world e.g. tree.
      I'm thinking to use WordNet to classify the name detected. Let me know if I should think in a different direction?






      image object-detection wordnet




      image object-detection wordnet






      share|improve this question













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      asked Nov 24 '18 at 9:47









      user7478155user7478155

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