Train YOLO on Custom Dataset | Object Detection Step-by-Step Tutorial

📥 Download Code & Resources: https://colab.research.google.com/drive/18iauTCoH4Ct2CzrvX080EC030HM9lR-A?usp=sharing Learn how to train the YOLO object detection model on your own custom dataset from scratch! In this hands-on tutorial, we walk through every step from dataset preparation, annotation, training, and evaluation using YOLOv10. 🔍 What You’ll Learn: - How YOLO object detection works - Preparing a custom dataset for training - Annotating images using tools like LabelImg or Roboflow - Training YOLO on your custom data - Visualizing and testing detection results 📦 Tools & Frameworks Used: - Ultralytics YOLO - Python - Google Colab or local GPU 👍 Don’t forget to Like, Share, and Subscribe for more AI & ML content!