YoVDO

EfficientDet - Scalable and Efficient Object Detection

Offered By: Code With Aarohi via YouTube

Tags

Object Detection Courses Artificial Intelligence Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses

Course Description

Overview

Explore the innovative EfficientDet architecture for scalable and efficient object detection in this 30-minute video tutorial. Learn how EfficientDet differs from other object detection models, leveraging the EfficientNet backbone and introducing novel concepts like BiFPN (weighted bidirectional feature network) and compound scaling. Discover the three main components of object detectors: backbone, feature network, and class/box network. Understand the importance of Feature Pyramid Networks (FPN) in multi-scale feature fusion and how EfficientDet improves upon this concept. Delve into the architecture's uniform scaling of resolution, depth, and width, and its superior performance on both GPU and CPU compared to other detectors. Gain insights into model scaling, compound scaling formulas, and performance comparisons to enhance your understanding of this cutting-edge object detection technique.

Syllabus

Introduction
Object Detection
Efficiency
Normal FPS
EfficientDet Solution
Model scaling
Compound scaling formula
Scaling chart
Scaling formulas
Performance comparison


Taught by

Code With Aarohi

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX