| # AgriField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants From A Maize Diversity Panel | |
| ## Dataset Structure | |
| The dataset consists of two compressed `.zip` files, which contain the 3D point cloud data: | |
| ``` | |
| AgriField3D/ | |
| ├── FielGrwon_ZeaMays_RawPCD_100k.zip | |
| │ └── Contains 1045 high-resolution (100K points) `.ply` files representing full plant point clouds. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 1045.ply | |
| ├── FielGrwon_ZeaMays_RawPCD_50k.zip | |
| │ └── Contains 1045 high-resolution (50K points) `.ply` files representing full plant point clouds. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 1045.ply | |
| ├── FielGrwon_ZeaMays_RawPCD_10k.zip | |
| │ └── Contains 1045 high-resolution (10K points) `.ply` files representing full plant point clouds. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 1045.ply | |
| ├── FielGrwon_ZeaMays_SegmentedPCD_100k.zip | |
| │ └── Contains 520 high-resolution (100K points) `.ply` files of segmented plant models. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 0520.ply | |
| ├── FielGrwon_ZeaMays_SegmentedPCD_50k.zip | |
| │ └── Contains 520 high-resolution (50K points) `.ply` files of segmented plant models. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 0520.ply | |
| ├── FielGrwon_ZeaMays_SegmentedPCD_10k.zip | |
| │ └── Contains 520 high-resolution (10K points) `.ply` files of segmented plant models. | |
| │ ├── 0001.ply | |
| │ ├── 0002.ply | |
| │ ├── ... | |
| │ └── 0520.ply | |
| ├── Metadata.xlsx | |
| ``` | |
| ### Contents of the `.zip` Files | |
| - **`FielGrwon_ZeaMays_RawPCD_100k.zip`**: | |
| - Contains 1045 `.ply` files. Each file has 100K point cloud representing an entire maize plant. | |
| - **`FielGrwon_ZeaMays_RawPCD_50k.zip`**: | |
| - Contains 1045 `.ply` files. Each file has 50K point cloud representing an entire maize plant. | |
| - **`FielGrwon_ZeaMays_RawPCD_10k.zip`**: | |
| - Contains 1045 `.ply` files. Each file has 10K point cloud representing an entire maize plant. | |
| - **`FielGrwon_ZeaMays_SegmentedPCD_100k.zip`**: | |
| - Contains 520 `.ply` files. Each file represents a segmented maize plant by 100K point cloud focusing on specific plant parts. | |
| - **`FielGrwon_ZeaMays_SegmentedPCD_50k.zip`**: | |
| - Contains 520 `.ply` files. Each file represents a segmented maize plant by 50K point cloud focusing on specific plant parts. | |
| - **`FielGrwon_ZeaMays_SegmentedPCD_10k.zip`**: | |
| - Contains 520 `.ply` files. Each file represents a segmented maize plant by 10K point cloud focusing on specific plant parts. | |
| ### How to Access | |
| 1. **Download the `.zip` files**: | |
| - [FielGrwon_ZeaMays_RawPCD_100k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_RawPCD_100k.zip) | |
| - [FielGrwon_ZeaMays_RawPCD_50k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_RawPCD_50k.zip) | |
| - [FielGrwon_ZeaMays_RawPCD_10k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_RawPCD_10k.zip) | |
| - [FielGrwon_ZeaMays_SegmentedPCD_100k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_SegmentedPCD_100k.zip) | |
| - [FielGrwon_ZeaMays_SegmentedPCD_50k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_SegmentedPCD_50k.zip) | |
| - [FielGrwon_ZeaMays_SegmentedPCD_10k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/resolve/main/FielGrwon_ZeaMays_SegmentedPCD_10k.zip) | |
| 2. **Extract the files**: | |
| ```bash | |
| unzip FielGrwon_ZeaMays_RawPCD_100k.zip | |
| unzip FielGrwon_ZeaMays_RawPCD_50k.zip | |
| unzip FielGrwon_ZeaMays_RawPCD_10k.zip | |
| unzip FielGrwon_ZeaMays_SegmentedPCD_100k.zip | |
| unzip FielGrwon_ZeaMays_SegmentedPCD_50k.zip | |
| unzip FielGrwon_ZeaMays_SegmentedPCD_10k.zip | |
| ``` | |
| 3. Use the extracted `.ply` files in tools like: | |
| - MeshLab | |
| - CloudCompare | |
| - Python libraries such as `open3d` or `trimesh`. | |
| ### Example Code to Visualize the `.ply` Files in Python | |
| ```python | |
| import open3d as o3d | |
| # Load and visualize a PLY file from the dataset | |
| pcd = o3d.io.read_point_cloud("FielGrwon_ZeaMays_RawPCD_100k/0001.ply") | |
| o3d.visualization.draw_geometries([pcd]) | |
| ``` | |