Thite Sandip, Godse Deepali, Patil Kailas, Chumchu Prawit, Nyandoro Alfa
Vishwakarma University, Pune, India.
Bharati Vidyapeeth's College of Engineering for Women, Pune, India.
Data Brief. 2024 Sep 21;57:110936. doi: 10.1016/j.dib.2024.110936. eCollection 2024 Dec.
This data paper presents a comprehensive visual dataset of 19 distinct types of Indian spices, consisting of high-quality images meticulously curated to facilitate various research and educational applications. The dataset includes extensive imagery of the following spices: Asafoetida, Bay Leaf, Black Cardamom, Black Pepper, Caraway Seeds, Cinnamon Stick, Cloves, Coriander Seeds, Cubeb Pepper, Cumin Seeds, Dry Ginger, Dry Red Chilly, Fennel Seeds, Green Cardamom, Mace, Nutmeg, Poppy Seeds, Star Anise, and Stone Flowers. Each image in the dataset has been captured under controlled conditions to ensure consistency and clarity, making it an invaluable resource for studies in food science, agriculture, and culinary arts. The dataset can also support machine learning and computer vision applications, such as spice recognition and classification. By providing detailed visual documentation, this dataset aims to promote a deeper understanding and appreciation of the rich diversity of Indian spices.
本数据论文展示了一个包含19种不同类型印度香料的综合视觉数据集，该数据集由精心挑选的高质量图像组成，以方便各种研究和教育应用。该数据集包括以下香料的大量图像：阿魏、月桂叶、黑豆蔻、黑胡椒、葛缕子籽、桂皮、丁香、芫荽籽、荜澄茄、孜然籽、干姜、干辣椒、小茴香籽、绿豆蔻、肉豆蔻干皮、肉豆蔻、罂粟籽、八角茴香和石花。数据集中的每一张图像都是在受控条件下拍摄的，以确保一致性和清晰度，使其成为食品科学、农业和烹饪艺术研究的宝贵资源。该数据集还可以支持机器学习和计算机视觉应用，如香料识别和分类。通过提供详细的视觉文档，该数据集旨在促进对印度香料丰富多样性的更深入理解和欣赏。
