https://github.com/abbaszaidi123/text-augmentation

https://github.com/abbaszaidi123/text-augmentation

ai imagedetection ml python

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/abbaszaidi123/text-augmentation
• Owner: abbaszaidi123
• Created: 2025-04-04T18:59:36.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-04T19:07:02.000Z (about 1 year ago)
• Last Synced: 2025-04-09T19:20:01.324Z (about 1 year ago)
• Topics: ai, imagedetection, ml, python
• Language: Jupyter Notebook
• Homepage:
• Size: 17.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Augmentation

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. \

However, these networks are heavily reliant on big data to avoid overfitting. \

Overfitting refers to the phenomenon when a network learns a function with very high variance such as to perfectly model the training data. 

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## Increasing the amount and diversity of data.

* what do you do when you have limited data? 

  * Ans: Data Augmentation.

* What is Data Augmentation? 

  * Data augmentation is a technique of artificially increasing the training set by creating modified copies of a dataset using existing data. 

  * It includes making minor changes to the dataset or using deep learning to generate new data points.  

* Commonly used Augmentation Techniques \

  Some of the commonly used Image data augmentations techniques are:

  1. Flipping

      * This means flipping the image horizontally or vertically.

      

  2. Rotation

      * This means to rotate the image by a given angle in the clockwise or anticlockwise direction.

      

  3. Cropping

      * During cropping, a section of the image is sampled randomly.

      

  4. Brightness

      * Increase or decrease the brightness of the image.

      

  5. Scaling

      * Scaling Images can be scaled outward or inward. When scaled outward, the image size increases while the image size decreases when scaled inwards.

      

  6. Noise Addition

      * We can also add gaussian noise to the existing images.

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* Popular Image Augmentation packages

    * skimage

    * opencv

    * imgaug

    * Albumentations

    * Augmentor

    * Keras(ImageDataGenerator class)

    * SOLT

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![vz7gkdD](https://github.com/RATHOD-SHUBHAM/Augmentation/assets/58945964/baf9e9d8-bcd3-4d59-ad87-9308b4d2d73d)

Image source: Kaggle

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![download](https://github.com/RATHOD-SHUBHAM/Augmentation/assets/58945964/5d8f1a65-5d11-4dbd-8b2b-8116499067ed)