YoVDO

Detecting Underwater Objects with YOLO-NAS Deep Learning

Offered By: Eran Feit via YouTube

Tags

Deep Learning Courses Computer Vision Courses PyTorch Courses Object Detection Courses Image Classification Courses Transfer Learning Courses Marine Life Courses Data Augmentation Courses

Course Description

Overview

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Learn how to implement underwater object detection using YOLO-NAS and Python in this comprehensive tutorial. Discover the process of importing and utilizing the YOLO-NAS model, training it with a custom underwater dataset, and making predictions with bounding boxes around detected objects. Gain hands-on experience with SuperGradients, a PyTorch-based computer vision library, and explore its compatibility with PyTorch Datasets and Dataloaders. Follow along as the instructor demonstrates each step, from installation to predicting test images, and acquire valuable skills in applying state-of-the-art object detection techniques to underwater imagery.

Syllabus

Introduction
Installation
Download the dataset
Train
Predict a test image


Taught by

Eran Feit

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