Training Data Generation

Let's generate training data for the semantic image segmentation model.

Generating training examples

Autonomous driving systems have to be extremely robust with no margin of error. This requires training each component model with all the possible scenarios that can happen in real life. Let’s see how to generate such training data for performing semantic segmentation.

Human-labeled data

First, you will have to gather driving images and hire people to label the images in a pixel-wise manner. There are many tools available such as Label Box that can facilitate the pixel-wise annotation of images.

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