AllerNuts: Dataset for Identifying Allergenic Nuts via Image Classification

This Nuts Classification Dataset is developed to support health-related research, particularly for identifying allergenic nuts through computer vision techniques. Given the health benefits of nuts, there is also a need to detect varieties that may cause allergic reactions. Based on online research, four types of nuts commonly associated with allergies were selected: Almonds, Cashews, Peanuts, and Pistachios. Nuts Samples were collected from local markets in Kaliakoir, Gazipur, Bangladesh, between November 16 and November 18, 2023. Images of these nuts were captured using a Xiaomi Redmi Note 9S smartphone. Originally in high dimensions (300x300 px), images were resized to 800x600 px to optimize file size while preserving quality. The dataset contains 4,390 images: 1,039 Almonds, 1,070 Cashews, 1,153 Peanuts, and 1,128 Pistachios. Backgrounds were removed to improve model learning efficiency; mages were taken with a white paper background and flash lighting for clarity and consistency. This balanced dataset, with backgrounds removed, is useful for computer vision projects to identify allergenic nuts using machine learning and deep learning models. It will also support health-related research by helping to classify nuts that may cause allergies.

Original Data:
Total: 4390 Images
Data Type: JPG
Dimension: 800 X 600

Without Background Data:
Total: 4390 Images
Data Type: JPG
Dimension: 800 X 600

本坚果分类数据集旨在支持与健康相关的科研工作，特别是通过计算机视觉技术识别致敏坚果。鉴于坚果的健康益处，亦需检测可能引起过敏反应的品种。基于在线研究，选定了四种与过敏症常见的坚果类型：杏仁、腰果、花生和开心果。坚果样本于2023年11月16日至11月18日，在孟加拉国加济布尔地区的卡利亚科伊当地市场收集。使用小米Redmi Note 9S智能手机捕捉了这些坚果的图像。原始图像为高分辨率（300x300像素），经过调整尺寸至800x600像素，以优化文件大小同时保持图像质量。数据集包含4,390张图像：1,039张杏仁，1,070张腰果，1,153张花生和1,128张开心果。为提高模型学习效率，已移除背景；图像以白色纸张背景和闪光灯照明拍摄，以确保清晰度和一致性。此去背景的平衡数据集，适用于计算机视觉项目，利用机器学习和深度学习模型识别致敏坚果。同时，它还将通过帮助分类可能引起过敏的坚果，支持与健康相关的科研工作。