Skip to content

Latest commit

 

History

History
16 lines (11 loc) · 1019 Bytes

README.md

File metadata and controls

16 lines (11 loc) · 1019 Bytes

Object Detection with YOLO 🚀

Open In Colab

Hello! This is a tutorial, where you can learn object detection with YOLO (You Only Look Once). YOLO is a state-of-the-art, real-time object detection algorithm known for its speed and accuracy. It combines object classification and localization in a single neural network, making it incredibly fast and efficient. You can run this tutorial on Google Colaboratory using a free GPU instance with the button above or on your local machine.

In this tutorial, we will cover the following topics:

  • Introduction to object detection with YOLO.
  • Using pre-trained models for object detection.
  • Training a custom model on your own dataset.
  • Outlook: Deploy your model on different hardware.

By the end of this tutorial, you will have an understanding of YOLO and be able to apply it to various object detection tasks.