Create README.md

README.md

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+---
+license: mit
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Cassava-Dataset (YOLOv8 Format)
+size_categories:
+- 10K<n<100K
+---
+
+
+# 🌿 Cassava-7 Dataset (YOLOv8 Format)
+
+## 📌 Overview
+
+The **Cassava-Dataset** is a computer vision dataset designed for **plant disease detection in cassava leaves**.  
+It is formatted for **YOLOv8 object detection models**, making it suitable for training deep learning systems for agricultural disease identification.
+
+This dataset was prepared for research and development in **smart agriculture, IoT farming systems, and AI-based plant disease detection**.
+
+---
+
+## 🎯 Objective
+
+To enable automated detection and classification of cassava leaf diseases using deep learning models such as:
+
+- YOLOv8 Nano (yolov8n)
+- YOLOv8 Small/Medium
+- Other object detection architectures
+
+---
+
+## 🧠 Classes
+
+The dataset contains the following classes: