Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

This dataset contains experimental data used to train the cascading U-Net models and the DeepLabV3+ model for identifying ACC phase, vaterite crystals, and calcite crystals in droplet microfluidics. It also includes code for reproducing all data-driven machine learning results, which should be used in conjunction with the cac and deeplab Python libraries.