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Data Augmentation For Object Detection

USE QUICK-START.IPYNB Accompanying code for the Paperspace tutorial series on adapting data augmentation methods for object detection tasks

Dependencies

  1. OpenCV 3.x
  2. Numpy
  3. Matplotlib

We support a variety of data augmentations, like.

Horizontal Flipping

Horizontal Flip

Scaling

Scaling

Translation

Translation

Rotation

Rotation

Shearing

Shearing

Resizing

Resizing

Quick Start

A quick start tutorial can be found in the file quick-start.ipynb in this repo.

Documentation

A list of all possible transforms and extensive documentation can be found in by opening docs/build/html/index.html in your browser or at this link.

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  • Jupyter Notebook 98.9%
  • Python 1.1%