Update README.md

README.md

@@ -10,7 +10,7 @@ size_categories:
 ---
 
 
-# 🌿 Cassava-7 Dataset (YOLOv8 Format)
+# 🌿 Cassava-Dataset (YOLOv8 Format)
 
 ## 📌 Overview
 
@@ -34,3 +34,67 @@ To enable automated detection and classification of cassava leaf diseases using
 ## 🧠 Classes
 
 The dataset contains the following classes:
+
+names:
+- CBB
+- CBSD
+- CGM
+- CMD
+- HEALTHY
+
+---
+
+## 📁 Dataset Structure
+cassava-7/
+├── train/
+│ ├── images/
+│ └── labels/
+├── valid/
+│ ├── images/
+│ └── labels/
+├── test/
+│ ├── images/
+│ └── labels/
+└── data.yaml
+
+
+---
+
+## ⚙️ YOLOv8 Configuration
+
+Example `data.yaml`:
+
+```yaml
+path: .
+train: train/images
+val: valid/images
+test: test/images
+
+names:
+ names:
+- CBB
+- CBSD
+- CGM
+- CMD
+- HEALTHY
+```
+
+## 🚀 Usage (YOLOv8 Training)
+Install dependencies
+```yaml
+pip install ultralytics
+
+from ultralytics import YOLO
+
+model = YOLO("yolov8n.pt")
+
+model.train(
+    data="data.yaml",
+    epochs=50,
+    imgsz=640,
+    batch=16,
+    device=0
+)
+
+```
+