CADICA
The CADICA dataset is a newly released resource for coronary artery disease research. It includes annotated coronary angiography images with bounding boxes around lesions. Initially, bounding boxes are provided in the format of top‑left coordinates, width, and height. The dataset is split into training, validation, and test sets; each split has detailed CSV files listing image paths and corresponding ground‑truth annotations.
Dataset description and usage context
Dataset Overview
Dataset Name
CADICA Dataset
Dataset Authors
Jiménez‑Partinen, Ariadna; Molina‑Cabello, Miguel A.; Thurnhofer‑Hemsi, Karl; Palomo, Esteban; Rodríguez‑Capitán, Jorge; Molina‑Ramos, Ana I.; Jiménez‑Navarro, Manuel
Release Year
2024
Content
Contains annotated coronary angiography images, where lesion regions are labeled with bounding boxes. Original bounding boxes are given as top‑left coordinates, width, and height, later converted to YOLO format (center‑normalized coordinates and dimensions).
Usage
Intended for coronary artery disease detection, especially training deep‑learning models using the YOLO algorithm.
Structure
The dataset is divided into training, validation, and test subsets, each containing CSV files that record image paths and their ground‑truth annotations.
Processing
The DatasetGenerator class organizes the data into the directory structure required by YOLO and converts bounding‑box coordinates to YOLO format, ensuring compatibility with YOLO algorithms.
Access
The dataset can be accessed via the following link: CADICA Dataset
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