Enhanced precision in automatic identiｦcation of Coronal Hole regions in solar images using the proposed Supervised Intensity Thresholding with Distance Transform Clustering and Connected Component Labeling (SITDTCCCL) method on data collected by the Solar Dynamic Observatory between January 2019 and July 2023 Dibyadeep Nandi Jadavpur University Angesh Anupam Cardiff School of Technologies, Cardiff Metropolitan University Soumya Roy Haldia Institute of Technology, MAQAT Amrita Prasad Cardiff School of Technologies, Cardiff Metropolitan University Sankar Narayan Patra Jadavpur University Research Article Keywords: Coronal Hole, Object Detection, Deep Learning, YOLOv8 Posted Date: April 26th, 2024 DOI: https://doi.org/10.21203/rs.3.rs-4277763/v1 License:   This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Additional Declarations: No competing interests reported.