Generation of labeled images for semantic segmentation

Course Q&A Deep Learning Specialization Convolutional Neural Networks
2

Hi @Jaime3ddev , welcome to this community!
Here is something that may help you.
A typical workflow to generate the labels for each input image would be:

  1. Annotate a set of training images with the desired segmentations, either manually or using an annotation tool such as Labelbox or RectLabel.
  2. Preprocess the annotated images and convert the annotations into the desired format, e.g., one-hot encoding for each pixel.
  3. Train the segmentation algorithm using the annotated images and their corresponding labels as input.
  4. Validate the trained model using a separate set of validation images and evaluate the performance metrics.
  5. If necessary, fine-tune the model using additional annotated data or hyperparameter tuning.
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