task_categories:image-segmentation language:en license:cc-by-nd-4.0 biology code region:us
The images consist of aerial photography of agricultural plantations with crops
such as cabbage and zucchini. The dataset addresses agricultural tasks such as
plant detection and counting, health assessment, and irrigation planning.
The dataset consists of plantations' photographs with object and class
segmentation of cabbage.
@InProceedings{huggingface:dataset,
title = {plantations_segmentation},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nd-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- biology
- code
dataset_info:
  features:
  - name: image_id
    dtype: int32
  - name: image
    dtype: image
  - name: class_segmentation
    dtype: image
  - name: object_segmentation
    dtype: image
  - name: shapes
    dtype: string
  splits:
  - name: train
    num_bytes: 48297698
    num_examples: 13
  download_size: 48362120
  dataset_size: 48297698
---

# Plantations Segmentation
The images consist of aerial photography of agricultural plantations with crops such as cabbage and zucchini. The dataset addresses agricultural tasks such as plant detection and counting, health assessment, and irrigation planning. The dataset consists of plantations' photographs with object and class segmentation of cabbage.

# 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=plantations_segmentation) to discuss your requirements, learn about the price and buy the dataset.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F5fa7e8e62e793dac70dc9e1db6f60a18%2F66666.png?generation=1685972525147537&alt=media)

# Dataset structure
- **Plantations_Segmentation** - contains of original plantation images (folder **img**) and file with annotations (.xml)
- **Object_Segmentation** - includes object segmentation masks for the original images
- **Class_Segmentation** - includes class segmentation masks for the original images

# Types of segmentation
The dataset includes two types of segmentation:
- **Class Segmentation** - objects corresponding to one class are identified
- **Object Segmentation** - all objects are identified separately

# Data Format

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

# Example of XML file structure
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F0c5baa0d81e6c2fb17885456f1bd3cfd%2Fcarbon%20(1).png?generation=1685973058340642&alt=media)

# Plantation segmentation might be made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=plantations_segmentation) 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**