Datasets:
metadata
license: apache-2.0
task_categories:
- image-to-text
- image-classification
language:
- en
- ms
tags:
- culture
- food
- malaysia
pretty_name: Malaysian Cuisine Image Dataset
size_categories:
- n<1K
Malaysian Cuisine Image Dataset
Overview
This dataset contains curated images of Malaysian cuisine, including traditional dishes such as roti telur, nasi lemak, murtabak, gulai ikan, and lemang. It is intended for image classification tasks and cultural food recognition studies.
Dataset Structure
- Format: Images in
.jpgformat - Classes: 10 food categories (roti telur, nasi lemak ayam goreng, murtabak, gulai ikan, lemang, etc.)
- File naming convention:
dishname_variant.jpg(e.g.,roti_telur.jpg,lemang_stall.jpg)
Use Cases
- Food image classification
- Cultural cuisine recognition
- Training and testing computer vision models
- Educational use for Malaysian culinary heritage
How to Use
from datasets import load_dataset
dataset = load_dataset("ychwodhrey/malaysian-cuisine")