📦 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