gen-ai-researcher/cardio-mark
CardioMark Review Subset This repository contains an anonymized review subset of the CardioMark benchmark introduced for automated vertebral heart score (VHS) estimation in canine thoracic radiographs. The subset is provided to support reproducibility and data-quality inspection during peer review. Dataset Overview CardioMark is a large-scale benchmark for evaluating the complete VHS measurement pipeline, including: cardiac landmark localization geometric VHS… See the full description on the dataset page: https://huggingface.co/datasets/gen-ai-researcher/cardio-mark.
CardioMark Review Subset
This repository contains an anonymized review subset of the CardioMark benchmark introduced for automated vertebral heart score (VHS) estimation in canine thoracic radiographs.
The subset is provided to support reproducibility and data-quality inspection during peer review.
Dataset Overview
CardioMark is a large-scale benchmark for evaluating the complete VHS measurement pipeline, including:
- cardiac landmark localization
- geometric VHS estimation
- threshold-based diagnosis
- boundary sensitivity analysis
- subgroup reliability evaluation
The complete benchmark contains:
- 21,465 lateral thoracic radiographs
- 12,385 dogs
- 144 breeds
- six cardiac keypoint annotations per image
- continuous VHS measurements
This repository contains a representative evaluation subset sampled from the benchmark.
Contents
The review subset includes:
- anonymized radiographs
- corresponding
.matlandmark annotations - train/validation/test split structure
- evaluation-ready file organization
Directory structure:
Train/
├── Images/
└── Labels/
Valid/
├── Images/
└── Labels/
Test/
├── Images/
└── Labels/