🍎🍌🍊 Train a Custom YOLOv8 Model for Apple, Banana, and Orange Detection

This repository demonstrates how to train a custom YOLOv8 model for detecting Apples, Bananas, and Oranges using Python and Ultralytics YOLOv8.

The notebook walks you through every step — from downloading the dataset to training the model and visualizing predictions using OpenCV.

---

🚀 Features

• Download and organize datasets automatically using gdown
• Create a custom YAML configuration for YOLOv8
• Train YOLOv8 on your own fruit detection dataset
• Visualize bounding boxes and class labels using OpenCV
• Save and display results for evaluation

---

🧠 Technologies Used

• Python
• Ultralytics YOLOv8
• OpenCV
• Matplotlib
• Google Colab
• gdown

---

📁 Download Dataset

Download YOLO Weights