paneer curry

Data Description for Paneer Curry Classification

1. Overview

This dataset contains over 500 images of paneer curry, classified into good and bad categories. The images were captured using a Redmi Note 8 Pro mobile camera under daylight conditions with a white background to ensure consistent lighting and minimal background noise.

2. Data Collection Process

Sample Selection: Paneer curry samples were collected, ensuring variation in ingredients, cooking techniques, and storage conditions.

Good Paneer Curry: Fresh, properly cooked, with an appealing texture, correct seasoning, and no signs of spoilage.

Bad Paneer Curry: Spoiled, overcooked, undercooked, contaminated, or visually unappealing due to separation, discoloration, or fungal growth.

3. Image Capture Conditions

Device Used: Redmi Note 8 Pro

Lighting: Natural daylight for consistency

Background: White to enhance contrast and visibility

Angle: Standardized close-up shots to highlight texture, color, and consistency

4. Data Distribution

Good Paneer Curry: ~50% of images

Bad Paneer Curry: ~50% of images

Resolution: High-quality images for better classification accuracy

5. Applications

Automated food quality detection

Food industry quality control

Machine learning model training for visual classification

This dataset is suitable for developing AI-based classification models to distinguish between fresh and spoiled paneer curry.