Tackling the Small Object Problem in Object Detection

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  • Опубликовано: 4 авг 2024
  • Small objects are hard to detect!
    In this video, we discuss some strategies to solve the small object problem in object detection.
    Corresponding blog post:
    blog.roboflow.com/tackling-th...
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Комментарии • 10

  • @MustafaAktasVEVO
    @MustafaAktasVEVO 3 года назад +3

    Helpful video, thank you.
    Another way to augment data might be to go and get a high-resolution dataset and decrease its resolution so that it will be like small objects.

  • @ekzacharia
    @ekzacharia Год назад

    This was the most helpful video I've watched all year!

    • @ekzacharia
      @ekzacharia Год назад

      Just like so many questions answered.

  • @TheTacticalDood
    @TheTacticalDood Год назад

    I didn't get why we should filter null tiles. Shouldn't they help teach the model the "absence" of objects?

  • @NadavOssendryver
    @NadavOssendryver 3 года назад +2

    Can you please help me, how to I add tiling at inference, and not only in the preprocessing?

    • @fedorlaputin9119
      @fedorlaputin9119 Год назад +1

      how did you solve that?

    • @wittman99
      @wittman99 5 месяцев назад

      @@fedorlaputin9119looking at documentation you will need to pass &tile parameter and set to the size of tile which you used but this option does nothing and run inference on the whole image. Im trying to figure this out too.

  • @zoroXgamings
    @zoroXgamings 3 года назад

    I have 200mb of data as tfrecord file, while training efficientdet d7 , it stops