yaotianvector/STEM2Mat
AutoMat Benchmark: STEM Image to Crystal Structure The AutoMat Benchmark is a multimodal dataset designed to evaluate deep‑learning systems for iDPC-STEM‑based crystal‑structure reconstruction and property prediction. Code: https://github.com/yyt-2378/AutoMat 📁 Dataset Structure The dataset is organized into three tiers of increasing difficulty: benchmark/ ├── tier1/ │ ├── img/ # STEM images (e.g., PNG, TIFF) │ ├── label/ # Atomic position labels… See the full description on the dataset page: https://huggingface.co/datasets/yaotianvector/STEM2Mat.
| Author / organization | yaotianvector |
|---|---|
| License (as declared) | mit |
| Downloads | 256 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 17 May 2025 |
| Last updated at source | 9 June 2025 |
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