UniEM-3M is the first large-scale multimodal electron microscopy (EM) dataset for instance-level microstructural understanding, which is proposed in our paper "UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation".
It provides high-resolution electron micrographs with expert-curated annotations and textual descriptions, aiming to accelerate research in automated materials analysis and deep learning… See the full description on the dataset page: https://huggingface.co/datasets/monostereo123/UniEM-3M.
