README.md

---
language:
- en
datasets:
- CVRP
tags:
- semantic-segmentation
- rice-panicles
- plant-phenomics
- image-processing
pretty_name: CVRP Dataset
size_categories:
- 1K<n<10K
source_datasets:
- custom
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
---

# CVRP

<!-- Provide a quick summary of the dataset. -->
<div>
Multi-cultivar and multi-view rice plant image dataset (CVRP) consists of 2,303 field images of rice plants, captured from 231 landraces and 50 modern
cultivars. Each image is paired with its corresponding annotated mask. Additionally, we provide 123 indoor images focused on individual panicles and 3D target reconstruction files.
</div>

## Overview

The dataset includes:
- **Field images**: Capturing multiple cultivars and field scenes with panicles.
- **Indoor images**: Focused on panicles with precise details.
- **Annotations**: Pixel-level segmentation masks for panicle segmentation tasks.
- **3D Reconstructions**: Point clouds in `.ply` format for target reconstruction.



### Dataset Structure

              📁CVRP/
                  ├── 📁FieldImages/ 
                  │   ├── 📁field_scenes/ 
                  │   │   ├── 📁Annotations/ 
                  │   │   │   ├── 00004.png
                  │   │   │   ├── ...
                  │   │   └── 📁Images/ 
                  │   │       ├── 00004.jpg
                  │   │       ├── ...
                  │   └── 📁multi_cultivars/ 
                  │       ├── 📁T1/ 
                  │       │   ├── 📁Annotations/ 
                  │       │   │   ├── T1_1.jpg
                  │       │   │   ├── ...
                  │       │   └── 📁Images/ 
                  │       │       ├── T1_1.jpg
                  │       │       ├── ...
                  │       └── ... 
                  ├── 📁IndoorPanicleImages/ 
                  │   ├── T6_1.png
                  │   ├── T6_2.png
                  │   ├── T6_3.png
                  │   ├── ...
                  ├── 📁TargetReconstruction
                  │   ├── G1204.ply
                  │   ├── G1210.ply
                  └── └── G1224.ply
          

### Dataset Statistics
<table>
  <tr>
    <th style="text-align:center;">Category</th>
    <th style="text-align:center;">Field Data (Multiple Cultivars)</th>
    <th style="text-align:center;">Field Data (Field Scenes)</th>
    <th style="text-align:center;">Indoor Data</th>
    <th style="text-align:center;">Total</th>
  </tr>
  <tr>
    <td style="text-align:center;"><b>Images</b></td>
    <td style="text-align:center;">2203</td>
    <td style="text-align:center;">100</td>
    <td style="text-align:center;">123</td>
    <td style="text-align:center;">2426</td>
  </tr>
  <tr>
    <td style="text-align:center;"><b>Annotations</b></td>
    <td style="text-align:center;">2203</td>
    <td style="text-align:center;">100</td>
    <td style="text-align:center;">--</td>
    <td style="text-align:center;">2303</td>
  </tr>
</table>


## Download Guide

```bash
pip install huggingface_hub

# Replace /your/path/to/save/cvrp-dataset with your actual save path.
huggingface-cli download CVRPDataset/CVRP --repo-type dataset --local-dir /your/path/to/save/cvrp-dataset --resume-download
```


## Data and Code Availability
The CVRP dataset and accompanying codes are publicly available from Hugging Face at https://huggingface.co/datasets/CVRPDataset/CVRP & https://huggingface.co/CVRPDataset/Model, 
and Bioinformatics service in Nanjing Agricultural University at http://bic.njau.edu.cn/CVRP.html.