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README.md
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# AgriField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants From A Maize Diversity Panel
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## Dataset Structure
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The dataset consists of two compressed `.zip` files, which contain the 3D point cloud data:
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```
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AgriField3D/
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├── FielGrwon_ZeaMays_RawPCD_100k.zip
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│ └── Contains 1045 high-resolution (100K points) `.ply` files representing full plant point clouds.
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│ ├── 0001.ply
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│ ├── 0002.ply
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│ ├── ...
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│ └── 1045.ply
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├── FielGrwon_ZeaMays_SegmentedPCD_100k.zip
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│ └── Contains 520 high-resolution (100K points) `.ply` files of segmented plant models.
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│ ├── 0001.ply
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│ ├── 0002.ply
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│ ├── ...
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│ └── 0520.ply
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```
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### Contents of the `.zip` Files
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- **`FielGrwon_ZeaMays_RawPCD_100k.zip`**:
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- Contains 1045 `.ply` files. Each file is a high-resolution 3D point cloud representing an entire maize plant.
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- **`FielGrwon_ZeaMays_SegmentedPCD_100k.zip`**:
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- Contains 520 `.ply` files. Each file represents a segmented model focusing on specific plant parts.
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### How to Access
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1. **Download the `.zip` files**:
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- [FielGrwon_ZeaMays_RawPCD_100k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_RawPCD_100k.zip)
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- [FielGrwon_ZeaMays_SegmentedPCD_100k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_SegmentedPCD_100k.zip)
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2. **Extract the files**:
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```bash
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unzip FielGrwon_ZeaMays_RawPCD_100k.zip
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unzip FielGrwon_ZeaMays_SegmentedPCD_100k.zip
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```
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3. Use the extracted `.ply` files in tools like:
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- MeshLab
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- CloudCompare
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- Python libraries such as `open3d` or `trimesh`.
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### Example Code to Visualize the `.ply` Files in Python
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```python
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import open3d as o3d
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# Load and visualize a PLY file from the dataset
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pcd = o3d.io.read_point_cloud("FielGrwon_ZeaMays_RawPCD_100k/0001.ply")
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o3d.visualization.draw_geometries([pcd])
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```
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