Train a Custom YOLOv8 Model for Object Detection using Python | Step-by-Step Tutorial
🍎🍌🍊 Apple, Banana, and Orange Detection using YOLOv8 | Custom Object Detection Model | Step-by-Step Tutorial
In this video, I’ll walk you through training a custom YOLOv8 model to detect Apples, Bananas, and Oranges from scratch using Python. 🍎🍌🍊
You’ll learn how to:
✅ Download and organize a custom dataset using gdown from Google Drive
✅ Train the model with Ultralytics YOLOv8 for fruit detection
✅ Visualize results with OpenCV and Matplotlib
✅ Customize bounding boxes and labels for better visualization
Whether you’re new to object detection or looking to build your own custom YOLOv8 project, this tutorial will help you understand each step clearly — from data setup to final predictions.
🧠 Technologies Used
Python
Ultralytics YOLOv8
OpenCV
Matplotlib
gdown
Google Colab
📂 GitHub Repository
🔗 GitHub Link : https://github.com/NitinCVOrbit/Train...
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