RoseVisuals: A Multi-Class Dutch Rose Petal Images Dataset for Automated Health and Pigmentation Classification via Deep Learning.

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Title: RoseVisuals: A Multi-Class Dutch Rose Petal Images Dataset for Automated Health and Pigmentation Classification via Deep Learning.
Authors: Sabale A; Department of Computer Science Engineering - Artificial Intelligence and Machine Learning, Vishwakarma Institute of Information Technology, Pune, India., Kapse D; Department of Computer Science Engineering - Artificial Intelligence and Machine Learning, Vishwakarma Institute of Information Technology, Pune, India., Mehta M; Department of Computer Science Engineering - Artificial Intelligence and Machine Learning, Vishwakarma Institute of Information Technology, Pune, India., Patil RR; Department of Computer Engineering, MIT, Academy of Engineering, Alandi, Pune, India., Kaur G; Department of Computer Engineering, Mukesh Patel School of Technology, Management and Engineering, SVKM's NMIMS, Shirpur, India., Tejani GG; Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.; Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, 320315, Taiwan., Mhetre HV; Department of Electronics & Communication Engineering, Bharati Vidyapeeth (Deemed University) College of Engineering, Pune, India., Yenkikar A; Department of Computer Science Engineering - Artificial Intelligence, Vishwakarma Institute of Technology, Pune, India., Patil AV; Department of Computer Science Engineering-Artificial Intelligence, Vishwakarma Institute of Technology, Pune, India., Veerendra AS; Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. veerendra.babu@manipal.edu.
Source: Scientific data [Sci Data] 2026 Jun 23. Date of Electronic Publication: 2026 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4463
DOI:10.1038/s41597-026-07630-4