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lishenyu/Plant3D

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Hugging Face2026-04-01 更新2026-04-12 收录
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--- license: mit --- # Plant3D: A Self-Constructed Plant 3D Reconstruction Dataset The **Plant3D** dataset is a **self-constructed dataset** created during my experiments on **RGB-D based 3D reconstruction of plants**. This dataset focuses **only on plants**, each with multiple reconstructed instances. If you want more data about Multi-Object, please check out: https://huggingface.co/datasets/yixuan-huang/Obj3D. These datasets will be **continuously updated**. --- ## 📂 Dataset Structure Each plant instance has the following structure: ``` plant_xxx/ │── color/ # RGB images │── depth/ # Depth images │── sparse/ # Sparse reconstruction results │── dense/ # Dense reconstruction results │── database.db # COLMAP database file ``` ### 🔹 Special Cases ``` plant_xxx/ │── mask_color/ # Masked RGB images │── mask_depth/ # Masked Depth images │── raw_color/ # Original RGB images │── raw_depth/ # Original Depth images │── sparse/ │── dense/ │── database.db ```` - `mask_color/`, `mask_depth/` → Images after applying **green mask** and **fixed depth-range filtering** - `raw_color/`, `raw_depth/` → Original images --- ## 🚀 Usage The **Plant3D** dataset can be useful for: - Benchmarking **plant-specific 3D reconstruction algorithms** - Research on **RGB-D plant modeling** - Validating **sparse/dense reconstruction pipelines** --- ## 🛠️ Tool Scripts 👉 For reconstruction scripts and utilities, please check: https://github.com/yixuanhuangm/multiview-recon --- ## 📷 Example Visualization todo... --- ## 📖 Citation If you use **Plant3D** in your research, please consider citing it as: ```bibtex @misc{huang2025plant3d, author = {Yixuan Huang}, title = {Plant3D: A Self-Constructed Plant 3D Reconstruction Dataset}, year = {2025}, howpublished = {HuggingFace Datasets}, url = {https://huggingface.co/datasets/yixuan-huang/Plant3D/} } ```` --- ## 📬 Contact If you have any questions, please contact: `yixuanhm@gmail.com`
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