How to Train a Scaled-YOLOv4 Object Detection Model : vimars

How to Train a Scaled-YOLOv4 Object Detection Model


How to Train a Scaled-YOLOv4 Object Detection Model
In this blog, we will show an example of how to train and generalize Scaled-YOLOv4 on your custom dataset to detect custom objects.
Jacob Solawetz
14 Jan 2021
• 9 min read
Object detection technology recently took a step forward with the publication of Scaled-YOLOv4 – a new state-of-the-art machine learning model for object detection.
In this blogpost we'll look at the breakthroughs involved in the creation of the Scaled-YOLOv4 model and then we'll work through an example of how to generalize and train the model on a custom dataset to detect custom objects.
Detecting lifts and jet skis from above via drone using Scaled-YOLOv4. Training data: public Aerial Maritime dataset.

Related Keywords

, Nvidia , Aerial Maritime , Fork Dataset , Paperspace Gradient , Managed Cluster , Create Notebook , Advanced Options , வான்கம்பி கடல் , நிர்வகிக்கப்பட்டது கொத்து , உருவாக்கு நோட்புக் ,

© 2025 Vimarsana