Soil type detection

📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation
-Number of classes: 10
-Number of picture: 3100
-Annotation source: Roboflow
-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                
|----|-------------|--------------------------------------------|
| 0  | `concrete`   | Hard surface, pavement or concrete         
| 1  | `dirtroad`   | Dirt road or path                          
| 2  | `grass`       | Grass or grassy terrain                    
| 3  | `gravel`      | Gravel surface or loose rocky path         
| 4  | `NS`           | Not traversable (Non-Surmountable)         
| 5  | `S50`         | 50% Surmountable slope                     
| 6  | `S75`         | 75% Surmountable slope                     
| 7  | `S100`       | Fully Surmountable (100%)                  
| 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/
├── train/ # Training images and labels
├── valid/ # Validation images and labels
├── test/ # Test images and labels
├── data.yaml
├── README.dataset.txt 
└── README.roboflow.txt