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  - synthetic
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  size_categories:
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  - 10K<n<100K
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- arxiv:
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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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  - 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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  - synthetic
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  size_categories:
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  - 10K<n<100K
 
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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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+ <p align="center">
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+ <img src="./demonstration.png" alt="Demonstration" width="1000"/>
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+ </p>
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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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  - 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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+ [Transparent-Fragments-Contour-Estimation](https://github.com/Keithllin/Transparent-Fragments-Contour-Estimation)
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  ---