Datasets:
| # BoilingBench-5 — Human-annotated boiling images | |
| Image-centered boiling benchmark containing RGB frames and human annotations associated with BubbleID and BubbleID-Flow. Use human labels as evaluation references for detection, segmentation, vapor-area fraction, and morphology. Keep machine-generated labels and model checkpoints separately identified; checkpoint licenses may differ from image/annotation rights. | |
| Citations: C. Dunlap et al., “BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis,” *Journal of Applied Physics*, 136, 014902 (2024), [publisher page](https://pubs.aip.org/aip/jap/article/136/1/014902/3300686); and A. Fahim et al., “BubbleID-Flow: Machine-Vision Quantification of Vapor Area Fraction in Subcooled Flow Boiling,” manuscript in preparation. | |
| Full card: [BoilingBench-5 documentation](https://github.com/UARK-NED3/BoilingBench-Multimodal/blob/main/docs/datasets/BoilingBench-5.md). | |