---
license: cc-by-nd-4.0
task_categories:
- image-segmentation
- image-classification
- image-feature-extraction
- image-to-image
language:
- en
tags:
- biology
- code
- not-for-all-audiences
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 Object Detection dataset
The dataset 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.

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/agriculture-data-labeling?utm_source=kaggle&utm_medium=cpc&utm_campaign=plantations-segmentation)** to 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%2F4107d573b14b40ee2c9c67727ab9ec87%2Fcarbon%20(6).png?generation=1686129907313187&alt=media)

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

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/agriculture-data-labeling?utm_source=kaggle&utm_medium=cpc&utm_campaign=plantations-segmentation)** to discuss your requirements, learn about the price and buy the dataset

## [**TrainingData**](https://trainingdata.pro/datasets/agriculture-data-labeling?utm_source=kaggle&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**

*keywords: agricultural tasks dataset, image segmentation dataset, plantations images dataset, plantations segmentation dataset, land cover dataset, agricultural products dataset, semantic segmentation dataset, agriculture dataset, agricultural data, object detection dataset, plants segmentation dataset, plant detection, plant recognition*