"Chestnut Varieties Dataset"

"\ud83d\udcc4 Description: This dataset consists of 1,156 images of four major chestnut (Castanea sativa) varieties cultivated in Turkey: Aland\u0131z, Ayd\u0131n, Simav, and Zonguldak. Images were captured under controlled lighting conditions using a Samsung NX300 camera, from both front and back angles to ensure diversity. Each folder in the dataset corresponds to a specific chestnut variety.The dataset has been used in multiple academic studies and is suitable for developing and testing image classification algorithms, deep learning models, and computer vision systems in agriculture and food technology.\ud83d\udcda Citation Request: If you use this dataset in your research or application, cite the following studies:Yurdakul, M., Uyar, K., & Ta\u015fdemir, \u015e. Webserver-Based Mobile Application for Multi-class Chestnut (Castanea sativa) Classification Using Deep Features and Attention Mechanisms, Applied Fruit Science, 2025, 67:102. Springer DOI: https:\/\/doi.org\/10.1007\/s10341-025-01327-5Yurdakul, M., Ataba\u015f, \u0130., & Ta\u015fdemir, \u015e. (2024, March). Chestnut (Castanea Sativa) Varieties Classification with Harris Hawks Optimization based Selected Features and SVM. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (pp. 1-5). IEEE.\ud83e\uddfe Folder Structure: \ud83d\udcc1 aland\u0131z \u2013 272 images\ud83d\udcc1 ayd\u0131n \u2013 228 images\ud83d\udcc1 simav \u2013 304 images\ud83d\udcc1 zonguldak \u2013 352 imagesAll images are in .jpg format and represent single chestnuts from different angles.\ud83e\udde0 Potential Use Cases: Image classificationMachine learning & deep learning model developmentFeature selection and optimization benchmarkingAgricultural and food product recognition"