/mask-rcnn

Primary LanguageJupyter NotebookMIT LicenseMIT

Mask-RCNN

Steps

  1. create individual image mask, save the mask as .json file
  2. merge these .json files into one .json (trainval.json)
  3. use the images and trainval.json as a COCO dataset
  4. train
  5. visualize