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Steps for creating a custom dataset

See original GitHub issue

Am trying out djl and really excited to finally try out object detection in Java. What are the steps to label images for object detection?

I see that images needs to be separated in to train and test directories and also see index.file containing the coordinates of annotated objects. What tool can be used to annotate images to generate index.file?

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Comments:6 (5 by maintainers)

github_iconTop GitHub Comments

3reactions
thhartcommented, Sep 25, 2020

Hi contributors thanks for the suggestions added here. However I have some criticism and I have to say the documentation is very incomplete. Maybe it is worth to put some more effort in this whole topic.

  1. SageMaker is a very high level labeling tool which does not answer how to integrate a dataset into DJL.
  2. PikachuDetection is a good basic example which unfortunately only contains 1 label, further it is not clear how the Pikachu is woven into a record dataset. From the index structure I can see it is a relative bounding box structure. But still it is unclear how multiple labels can be converted to a NDArray record structure.
  3. Finally your link to the own dataset creation only addresses a different AI problem and not image labeling for object detection not to speak of image segmentation.
0reactions
ffazilcommented, Jan 28, 2020

Thank you all.

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