Indonesian Food Dataset

The Food Image Classification Dataset provides 6,500 high-quality images of popular Indonesian dishes, offering a rich resource for training and testing machine learning models in the field of food recognition and image classification. These images were carefully collected from web sources to ensure diversity, clarity, and accuracy, making this dataset ideal for AI projects focused on food image analysis.

Key Features of the Food Image Classification Dataset:

• 6,500 Clear, High-Quality Images: Featuring a broad selection of Indonesian food, these images represent various popular dishes with sharp resolution and consistency.
• 13 Food Categories: The dataset includes 13 distinct types of Indonesian food, each with 500 images. These categories cover a wide range of dishes, offering diversity in visual characteristics and ingredients.
• Curated for Accuracy: Each image has been carefully filtered and selected to ensure high quality and a true representation of the food type, maintaining consistency and relevance for reliable machine learning model training.
• Ideal for Food Recognition Tasks: The dataset is well-suited for building and evaluating food classification models, image recognition systems, and other machine learning applications related to food recognition.

This dataset is sourced from Kaggle.