Faster R-CNN Courses and Certifications

CodeEmporium

Faster R-CNN Explained

Discover how Faster R-CNN revolutionizes object detection through its Region Proposal Network, making it significantly faster than previous R-CNN architectures while maintaining accuracy.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

LatLongCoder

Geospatial Deep Learning in ArcGIS Pro with ChatGPT and Faster R-CNN

Master deep learning techniques for geospatial analysis using ArcGIS Pro, integrating ChatGPT and Faster R-CNN for advanced object detection and GIS applications.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Code With Aarohi

Faster R-CNN Object Detection with PyTorch - Custom Dataset Training Guide

Master object detection with Faster R-CNN by learning dataset preparation in COCO format, model training with ResNet-50 FPN backbone, and performing inference on custom datasets for chairs, tables, and humans.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

DEFCONConference

Securing CCTV Cameras Against Blind Spots - Analysis of Location-Based Detection Vulnerabilities

5 ratings

Explore how CCTV camera blind spots create security vulnerabilities through location-based confidence weakness, and learn about TipToe - a novel evasion attack demonstrating detection flaws across various conditions.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

CodeEmporium

Fast R-CNN - Explained

Explore Fast R-CNN architecture, training methods, and inference techniques for improved object detection performance compared to original R-CNN networks.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Object Detection in Computer Vision - Lecture 22

Explores object detection with R-CNN variants, including ROI pooling, region proposal networks, anchor boxes, and Faster R-CNN.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

CNNs for Object Detection: Two-Stage Models

Explore the fundamentals of two-stage CNN models for object detection in this concise NPTEL lecture.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

CodeEmporium

Mask R-CNN Explained

Discover how Mask R-CNN extends Faster R-CNN for instance segmentation, covering RoIAlign, training processes, loss computation, and practical inference implementation.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

CodeEmporium

Feature Pyramid Networks - Enhancing Convolutional Network Performance Explained

Discover how Feature Pyramid Networks enhance convolutional network performance for computer vision tasks, with practical code examples and implementation details.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

CodeEmporium

DETR - Detection Transformers Explained

Explore Detection Transformers (DETR) architecture, training methods, and performance comparison with Faster R-CNN for modern object detection tasks.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

State-of-the-Art Deep Learning-Based Object Detection in 2D

Explore state-of-the-art object detection systems, including two-stage, one-stage, and transformer-based approaches. Learn to upgrade detection pipelines and tackle key challenges in 2D and 3D object detection.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Object Detection Using Facebook's Detectron2

12 ratings at Coursera

Train an object detection model in Detectron2: load and visualize a dataset, build and customize a Faster R-CNN, configure hyperparameters, then run inference and evaluation.

• Coursera
• 2 hours 5 minutes
• No Longer Offered
• Paid Course