In this video, we’ll walk you through the full process of creating a custom object detection dataset using Roboflow and training it on the powerful YOLOv7 model with GPU acceleration in Google Colab. Whether you’re new to machine learning or a seasoned pro, this step-by-step tutorial will help you build and train your own models efficiently.

What you’ll learn:

How to create a custom dataset for object detection with Roboflow
Step-by-step guide to setting up Google Colab for YOLOv7 training
Using GPU in Colab to speed up training
Exporting and preparing your dataset for training
By the end of this tutorial, you’ll have your own trained YOLOv7 model ready for deployment. Don’t forget to like and subscribe for more AI, machine learning, and computer vision content!
00:00 Introduction
00:28 Make dataset in Roboflow
04:39 Anotation
12:06 Train the model in Colab

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