# DataAugmentationForObjectDetection

**Repository Path**: woodsgao/DataAugmentationForObjectDetection

## Basic Information

- **Project Name**: DataAugmentationForObjectDetection
- **Description**: Data Augmentation For Object Detection
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-08-05
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Data Augmentation For Object Detection

Accompanying code for the [Paperspace tutorial series on adapting data augmentation methods for object detection tasks](https://blog.paperspace.com/data-augmentation-for-bounding-boxes/)

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

We support a variety of data augmentations, like.

### Horizontal Flipping
![Horizontal Flip](Images/hflip.png)

### Scaling
![Scaling](Images/scale_aug.png)

### Translation
![Translation](Images/transl_aug.png)

### Rotation
![Rotation](Images/rotate.png)

### Shearing
![Shearing](Images/shear_box.png)

### Resizing
![Resizing](Images/resize.png)


## 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.](https://augmentationlib.paperspace.com/)