silamany/lao-character-images

Dataset Description:

This dataset contains a collection of images featuring individual Lao characters, specifically designed for image classification tasks. The dataset is organized into folders, where each folder is named directly with the Lao character it represents (e.g., a folder named "ກ", a folder named "ຂ", and so on) and contains 100 images of that character.

Content:

The dataset comprises images of 44 distinct Lao characters, including consonants, vowels, and tone marks.

• Image Characteristics:
  • Resolution: 128x128 pixels
  • Format: JPEG (.jpg)
  • Appearance: Each image features a white drawn line representing the Lao character against a black background.

Structure:

- The dataset is divided into 44 folders.
- Each folder is named with the actual Lao character it contains.
- Each folder contains 100 images of the corresponding Lao character.
- This results in a total of 4400 images in the dataset.

Potential Use Cases:

- Training and evaluating image classification models for Lao character recognition.
- Developing Optical Character Recognition (OCR) systems for the Lao language.
- Research in computer vision and pattern recognition for Southeast Asian scripts.

Usage Notes / Data Augmentation:

The nature of these images (white characters on a black background) lends itself well to various data augmentation techniques to improve model robustness and performance. Consider applying augmentations such as:

- Geometric Transformations:
    - Zoom (in/out)
    - Height and width shifts
    - Rotation
    - Perspective transforms
- Blurring Effects:
    - Standard blur
    - Motion blur
- Noise Injection:
    - Gaussian noise

Applying these augmentations can help create a more diverse training set and potentially lead to better generalization on unseen data.