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.

帕尼尔咖喱分类数据集说明

1. 数据集概览
本数据集包含逾500张帕尼尔咖喱（Paneer Curry）图像，分为优质与劣质两类。所有图像均由Redmi Note 8 Pro手机摄像头拍摄，拍摄环境为日光条件，背景为纯白色，以确保光照一致且背景噪音降至最低。

2. 数据采集流程
样本筛选环节：采集帕尼尔咖喱样本时，需确保样本在配料、烹饪工艺及储存条件上具备多样性。
优质帕尼尔咖喱：指新鲜、烹饪得当、质感诱人、调味得当且无变质迹象的样本。
劣质帕尼尔咖喱：指已变质、过煮、欠煮、受污染，或因汤汁分离、色泽异常、真菌滋生等问题导致外观不佳的样本。

3. 图像采集参数
所用设备：Redmi Note 8 Pro
光照：采用自然日光以保证拍摄一致性
背景：使用纯白色背景以提升对比度与可见度
拍摄角度：采用标准化近景拍摄，以突出咖喱的质感、色泽与均匀度

4. 数据分布
优质帕尼尔咖喱图像占比约50%
劣质帕尼尔咖喱图像占比约50%
图像分辨率：所有图像均为高质量格式，以提升分类模型的准确率

5. 应用场景
自动化食品质量检测
食品行业质量管控
用于视觉分类任务的机器学习模型训练

本数据集适用于开发基于人工智能（Artificial Intelligence）的分类模型，以区分新鲜与变质的帕尼尔咖喱。