This repository contains an object detection model based on the YOLOv5 architecture, designed to accurately localize, count, and classify objects in images or videos. Built upon the state-of-the-art YOLOv5 framework, this model offers robust and efficient object detection capabilities for various applications.
I'm very interested in it. Unfortunately, I am unable to download the HSI data from the link provided. I hope to use this network to train my own HSI dataset, but as a beginner, I'm unsure about how to prepare the data files. I have a 512x512x101 HSI dataset.
Could you please guide me on how to prepare the data to make it work?
Hello!
Thank you for contributing such a great work.
I'm very interested in it. Unfortunately, I am unable to download the HSI data from the link provided. I hope to use this network to train my own HSI dataset, but as a beginner, I'm unsure about how to prepare the data files. I have a 512x512x101 HSI dataset.
Could you please guide me on how to prepare the data to make it work?
Thank you! Wish you more success!