paneer curry
Description
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.