Dataset Management

• The initial step in detecting Your Kind of Waste.

Imaging

• Images should have the same resolution
  • 1280x1280 pixels
• Images should have the same color settings when taken

Image Pre Processing

• ...

Create Dataset

• Create a new Dataset

Create a Dataset Class

Add Dataset Class to Dataset

Image Upload

• Upload images one by one
• Through the Edit Dataset page
  • Click on the Add new dataset image
  • Choose an image on your device
  • Choose the part of the image that you want to use
    • images must be at least 1280x1280 pixels for now, will become a dataset setting

Import Dataset

• Already have an annotated dataset ?
  • we got you
  • you just have to convert your annotations file/s to the MMDetection COCO Format
  • same as the COCO Format without the NULL Class
• Must be in the .zip file format
• Directories can be split
• Annotations files should be named annotations_coco.json

Enabling Images

Best Practices Procedure

• Through the Edit Dataset page

  • Click on the Edit Image button while hovering over an image
  • Check Enable Image checkbox
  • Press the Edit button

• Through the Image Annotation page

  • Click the Change Status button while the Status Radio Button is set to Enabled

• Optionally: Enable all images at once

• Check the annotations in each image, by going throught each image separately and enabling it if satisfactory.

• Leave Images with annotations which contain annotations about which you are unsure of as disabled images.

• Consult team about the annotations in the remaining disabled images

  • think about end goal (what will be detected)

Publish Dataset

• All Images must be Enabled
• All Images must have Annotations (will change)
• There must be at lease a 100 images in the dataset

Delete Image

• Through the Edit Dataset page
  • Click on the Edit Image button while hovering over an image
  • Press the Delete button
  • Press the Delete button again in the new pop-up

Export Dataset

• Export Dataset for further use
  • Press the Export Annotations_(will be changed)_ to COCO Format button
  • Choose the options that suits your case
    • Export Options
      • All Images default option
      • Only Enable Images toogle toogle
    • Export as Split Dataset
      • Export as Single Directory default option
        • all images are in a single directory
        • a single annotations_coco.json file for all images
      • Export as Split Directories toggle toggle
        • Split Directories
          • train
          • valid
          • test
        • images are split randomly into the three directories
        • each directory has a separate annotations_coco.json file for the images in that directory
        • current implementation works only for single class datasets