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CodeSignal

Data Preparation for Drawing Recognition

via CodeSignal

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Overview

The course focuses on preparing the dataset for drawing recognition. It covers the basics of data preparation, how to preprocess the data, and how to split the dataset into training and testing sets. The course also includes practical exercises to reinforce the concepts learned.

Syllabus

  • Unit 1: Loading and Understanding the Dataset
    • Expanding Categories for Drawing Recognition
    • Inspecting Dataset Structure and Properties
    • Visualizing Drawings with Matplotlib
    • Analyzing Drawing Dataset Distribution
  • Unit 2: Preprocessing the Data
    • Loading and Labeling Drawing Data
    • Shuffling and Normalizing Drawing Data
    • Implementing Data Augmentation for Drawing Recognition
  • Unit 3: Implementing Data Augmentation
    • Basic Image Augmentation for Drawings
    • Enhanced Data Augmentation for Drawings
    • Visualizing Multiple Augmentations of One Drawing
    • Comparing Fill Modes for Drawing Augmentation
    • Saving Augmented Drawings to Disk

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