Update MaizeField3D Dataset Card: Task Category and GitHub Link
Browse filesThis PR updates the `MaizeField3D` dataset card to:
- Change the `task_categories` metadata from `image-to-3d` to `other`, as per the explicit instructions.
- Add a direct link to the GitHub repository (`https://github.com/BaskarGroup/MaizeField3D`) in the main overview section, improving access to the associated code.
README.md
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---
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license: cc-by-nc-4.0
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task_categories:
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library_name:
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- open3d
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---
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# MaizeField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants From A Maize Diversity Panel
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[Paper link](https://huggingface.co/papers/2503.07813) | [Project page](https://baskargroup.github.io/MaizeField3D/)
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## Overview
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The use of artificial intelligence (AI) in three-dimensional (3D) agricultural research, especially for maize,
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```
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### How to Access
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### Example Code to Visualize the `.ply` Files in Python
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```python
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---
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license: cc-by-nc-4.0
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task_categories:
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- other
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library_name:
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- open3d
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---
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# MaizeField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants From A Maize Diversity Panel
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[Paper link](https://huggingface.co/papers/2503.07813) | [Project page](https://baskargroup.github.io/MaizeField3D/) | [Code](https://github.com/BaskarGroup/MaizeField3D)
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## Overview
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The use of artificial intelligence (AI) in three-dimensional (3D) agricultural research, especially for maize,
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```
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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/blob/main/datasets/FielGrwon_ZeaMays_RawPCD_100k.zip)
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- [FielGrwon_ZeaMays_RawPCD_50k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/blob/main/datasets/FielGrwon_ZeaMays_RawPCD_50k.zip)
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- [FielGrwon_ZeaMays_RawPCD_10k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/blob/main/datasets/FielGrwon_ZeaMays_RawPCD_10k.zip)
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- [FielGrwon_ZeaMays_SegmentedPCD_100k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/blob/main/datasets/FielGrwon_ZeaMays_SegmentedPCD_100k.zip)
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- [FielGrwon_ZeaMays_SegmentedPCD_50k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/blob/main/datasets/FielGrwon_ZeaMays_SegmentedPCD_50k.zip)
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- [FielGrwon_ZeaMays_SegmentedPCD_10k.zip](https://huggingface.co/datasets/BGLab/AgriField3D/blob/main/datasets/FielGrwon_ZeaMays_SegmentedPCD_10k.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_RawPCD_50k.zip
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unzip FielGrwon_ZeaMays_RawPCD_10k.zip
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unzip FielGrwon_ZeaMays_SegmentedPCD_100k.zip
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unzip FielGrwon_ZeaMays_SegmentedPCD_50k.zip
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unzip FielGrwon_ZeaMays_SegmentedPCD_10k.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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