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  # TransFrag27K: Transparent Fragment Dataset
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  ## Dataset Summary
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- This script was used to create the **first large-scale transparent fragment dataset, TransFrag27K**, which contains **27,000 images and masks** at a resolution of **640×480**. The dataset covers fragments of common everyday glassware and incorporates **more than 150 background textures** and **100 HDRI environment lightings**.
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- Transparent objects, being a special category, have **refractive and transmissive material properties** that make their visual features highly sensitive to environmental lighting and background. In real-world scenarios, collecting data of transparent objects with diverse backgrounds and lighting conditions is challenging, and annotations are prone to errors due to difficulties in recognition.
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  To address this, we designed an **automated dataset generation pipeline in Blender**:
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- - Objects are randomly fractured using the **Cell Fracture plugin**.
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  - Parametric scripts batch-adjust lighting, backgrounds, and camera poses.
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  - Rendering is performed automatically to output paired RGB images and binary masks.
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- The dataset is generated using this Blender script. Please refer to:
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  [GitHub Repository](https://github.com/Keithllin/Transparent-Fragments-Contour-Estimation)
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- ---
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-
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- ## Related Paper
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- **Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly**
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- *(Lin et al., 2025)*
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  ---
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  ---
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- ## Usage Example
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- ```python
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- from datasets import load_dataset
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-
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- dataset = load_dataset("your-username/TransFrag27K")
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- print(dataset["train"][0])
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- ```
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- ##Citation
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- If you use this dataset, please cite the following paper:
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  ```
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  @article{lin2025transparent,
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  title={Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly},
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- author={Lin, XXX and others},
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- year={2025},
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- journal={TBD}
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  }
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  ```
 
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  # TransFrag27K: Transparent Fragment Dataset
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  ## Dataset Summary
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+ TransFrag27K is the first large-scale transparent fragment dataset, which contains **27,000 images and masks** at a resolution of 640×480. The dataset covers fragments of common everyday glassware and incorporates **more than 150 background textures** and **100 HDRI environment lightings**.
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+ Transparent objects, being a special category, have refractive and transmissive material properties that make their visual features highly sensitive to environmental lighting and background. In real-world scenarios, collecting data of transparent objects with diverse backgrounds and lighting conditions is challenging, and annotations are prone to errors due to difficulties in recognition.
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  To address this, we designed an **automated dataset generation pipeline in Blender**:
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+ - Objects are randomly fractured using the Cell Fracture add-on.
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  - Parametric scripts batch-adjust lighting, backgrounds, and camera poses.
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  - Rendering is performed automatically to output paired RGB images and binary masks.
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+ The Blender script we used to generate TransFrag27k also supports batch dataset generation with any scene in which objects are placed at a horizontal plane. For implementation details, please refer to:
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  [GitHub Repository](https://github.com/Keithllin/Transparent-Fragments-Contour-Estimation)
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  ---
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  ---
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+ ## Citation
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+ If you find this dataset or the associated work useful for your research, please cite the paper:
 
 
 
 
 
 
 
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  ```
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  @article{lin2025transparent,
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  title={Transparent Fragments Contour Estimation via Visual-Tactile Fusion for Autonomous Reassembly},
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+ author=
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+ year=
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+
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  }
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  ```