UniqueData/plantations_segmentation

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.

💴 Buy the Dataset: This is just an example of the data. Leave a request on our website to discuss your requirements, learn about the price and buy the dataset

Leave a request on our website to discuss your requirements, learn about the price and buy the dataset.

Our Team

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