{
  "citation": "@article{xia2023Accurate,\n  author = {Zeyu Xia and Kan Ma and Sibo Cheng and Thomas Blackburn and Ziling Peng and Kewei Zhu and Weihang Zhang and Dunhui Xiao and Alexander J Knowles and Rossella Arcucci},\n  copyright = {CC BY-NC 3.0},\n  doi = {10.1039/d3cp00402c},\n  issn = {1463-9076},\n  journal = {Physical Chemistry Chemical Physics},\n  keywords = {},\n  language = {English},\n  month = {6},\n  number = {23},\n  pages = {15970--15987},\n  pmid = {37265373},\n  publisher = {Royal Society of Chemistry (RSC)},\n  title = {Accurate Identification and Measurement of the Precipitate Area by Two-Stage Deep Neural Networks in Novel Chromium-Based Alloy},\n  url = {https://doi.org/10.1039/d3cp00402c},\n  volume = {25},\n  year = {2023}\n}\n",
  "description": "A comprehensive, two-tiered deep learning approach designed for precise object detection and segmentation in electron microscopy (EM) images.",
  "features": {
    "id": {
      "dtype": "int8",
      "_type": "Value"
    },
    "original_name": {
      "dtype": "string",
      "_type": "Value"
    },
    "image": {
      "_type": "Image"
    },
    "det_annotation": {
      "feature": {
        "bbox": {
          "feature": {
            "dtype": "float32",
            "_type": "Value"
          },
          "length": 4,
          "_type": "Sequence"
        },
        "category": {
          "names": [
            "precipitate"
          ],
          "_type": "ClassLabel"
        }
      },
      "_type": "Sequence"
    },
    "seg_annotation": {
      "_type": "Image"
    },
    "raw_seg_annotation": {
      "dtype": "string",
      "_type": "Value"
    }
  },
  "homepage": "https://github.com/xiazeyu/DT_SegNet",
  "license": "CC BY-NC 3.0"
}