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.

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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

Plantation segmentation might be made in accordance with your requirements.

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TrainingData

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

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

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