/DataAugmentationForObjectDetection

Data Augmentation For Object Detection

Primary LanguageJupyter NotebookMIT LicenseMIT

Data Augmentation For Object Detection

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.