task_categories:image-classification task_categories:image-to-image task_categories:image-segmentation language:en license:cc-by-nc-nd-4.0 biology code region:us
The dataset consists of images of walnut trees and polygons denoting the **crown, trunk,
and road areas** for agriculture and farming.
- The **crown** polygons mark the external boundary of the trees' canopy. The labeling
is made relatively.  **By your request, the labeling  can be done precisely along the
outline of the tree crown.**.
- The **trunk** polygons represent the central woody structure of the trees. They
outline the main stem or trunk of the walnut trees. 
- The **road** polygons represent the areas surrounding the walnut trees, intended for
nut harvesting machines.
This dataset is useful for agriculture and provides a comprehensive representation of
these trees, enabling people to explore numerous aspects related to walnut tree growth,
health, and spatial distribution. It also helps to automate and optimize the harvesting
process in walnut plantations.
@InProceedings{huggingface:dataset,
title = {walnut-trees-dataset},
author = {TrainingDataPro},
year = {2023}
}
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
- image-segmentation
tags:
- biology
- code
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: name
    dtype: string
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: width
    dtype: uint16
  - name: height
    dtype: uint16
  - name: shapes
    sequence:
    - name: label
      dtype:
        class_label:
          names:
            '0': tree_trunk
            '1': tree_crown
            '2': road
    - name: type
      dtype: string
    - name: points
      sequence:
        sequence: float32
    - name: rotation
      dtype: float32
    - name: occluded
      dtype: uint8
    - name: attributes
      sequence:
      - name: name
        dtype: string
      - name: text
        dtype: string
  splits:
  - name: train
    num_bytes: 56274934
    num_examples: 20
  download_size: 55509430
  dataset_size: 56274934
---

# Walnut Trees Dataset
The dataset consists of images of walnut trees and polygons denoting the **crown, trunk, and road areas** for agriculture and farming.

- The **crown** polygons mark the external boundary of the trees' canopy. The labeling is made relatively.  **By your request, the labeling  can be done precisely along the outline of the tree crown.**.
- The **trunk** polygons represent the central woody structure of the trees. They outline the main stem or trunk of the walnut trees. 
- The **road** polygons represent the areas surrounding the walnut trees, intended for nut harvesting machines.

This dataset is useful for agriculture and provides a comprehensive representation of these trees, enabling people to explore numerous aspects related to walnut tree growth, health, and spatial distribution. It also helps to automate and optimize the harvesting process in walnut plantations.


![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff6bb96452b3c7d2078b387a8112f34cf%2FFrame%208.png?generation=1694011802530457&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=walnut-trees-dataset) to discuss your requirements, learn about the price and buy the dataset.

# Dataset structure
- **images** - contains of original images of walnut trees
- **labels** - includes polygon labeling for the original images
-  **annotations.xml** -  contains coordinates of the polygons and labels, created for the original photo

# Data Format

Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the polygon for each of the classes. For each point, the x and y coordinates are provided.

### Сlasses:
- **tree_trunk**: trunk of the tree,
- **tree_crown**: crow of the tree,
- **road**: road where a nut harvesting machine can pass

# Example of XML file structure
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F1d72c8f376168b0b17def11b17a853f8%2Fcarbon.png?generation=1694012294836650&alt=media)

# Walnut Trees Images might be collected and annotated in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=walnut-trees-dataset) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**