Tagging Your Dataset | Flexible Vision

Instruction Manual: Tagging Your Dataset

This manual provides step-by-step instructions on how to tag your image dataset. This process is crucial for training a model to detect the items you are interested in.


1. Accessing the Tagging Interface
  1. The process assumes you have already accessed the tagging interface and are ready to begin tagging your image dataset.

2. Creating Your Tags
  1. Locate and click the “add tag” button on the lower right quadrant of the screen.
  2. Enter the name of your tag in the prompt.
  3. Add all tag names corresponding to the items or features you are interested in detecting.
  4. Add as many tags as your project requires.

3. Tagging Your Images
  1. Select the image you want to tag.
  2. Select the desired tag type:
    1. Press the number keys 1 through 9 on your keyboard (each number corresponds to a specific tag).
    2. Click on the tag name displayed across the top of the image.
  3. Click and drag the bounding box over the object within the image.
  4. Ensure the bounding box tightly encloses the object.
  5. Tag all features or items visible within the image that correspond to your defined tags.

4. Toggling Between Tag Types
  1. Toggle between tag types by:
    1. Pressing the corresponding number key (1-9).
    2. Clicking on the tag name displayed at the top of the image.
  2. Select the appropriate tag before drawing a bounding box around the next object.

5. Reviewing Your Work
  1. Double-check your work to ensure accuracy and completeness after tagging all images.

6. Utilizing Shortcuts
  1. Right-click anywhere on the image to bring up a list of tools and a shortcut menu.
  2. Explore the shortcut menu for options like:
    1. Saving your tagging progress.
    2. Adding a new tag.
    3. Duplicating an existing tag.
    4. Zooming in on the image.
    5. Other available tools.

Summary of the Tagging Process:

  1. Create multiple tag types for the objects you want to detect.
  2. Tag your images by drawing bounding boxes around the identified objects and assigning the correct tag.
  3. Review your work to ensure accuracy.
  4. Utilize the available shortcuts to improve efficiency.

After completing the tagging process, proceed to the next step, which is to kickoff the model for training.