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
• On-Demand
• 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
• On-Demand
• Free Video

The Machine Learning Engineer

Object Detection with Faster R-CNN in C# Using ONNX on CPU

Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.

• YouTube
• 27 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Complete Computer Vision Bootcamp With PyTorch & Tensorflow

990 ratings at Udemy

Learn Computer Vision with CNN, TensorFlow, and PyTorch — Master Object Detection from Basics to Advanced

• Udemy
• 2 days 11 hours 38 minutes
• On-Demand
• Paid Course

Deep learning for object detection using Tensorflow 2

319 ratings at Udemy

Understand, train and evaluate Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and Google AI Platform

• Udemy
• 9 hours 52 minutes
• On-Demand
• Paid Course

Edureka

Practical Deep Learning with Python

Master deep learning fundamentals and advanced architectures like CNNs, RNNs, and LSTMs through hands-on Python implementation. Build, optimize, and evaluate models for real-world AI applications.

• Coursera
• 12 hours 3 minutes
• On-Demand
• Paid Course

DEFCONConference

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

4 reviews

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
• On-Demand
• Free Video

Action Recognition, Temporal Localization and Detection in Videos

Explore action recognition, temporal localization, and detection in videos. Learn about knowledge transfer, 3D adaptations of object detection, and video segmentation techniques.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Object Detection in Computer Vision - Lecture 22

Explore advanced object detection techniques in computer vision, including R-CNN, Fast R-CNN, and Faster R-CNN. Learn about training processes, region proposals, and improvements in detection algorithms.

• YouTube
• 59 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

The Machine Learning Engineer

MLOPS: Object Detection con Faster RCNN en C# Formato ONNX en CPU

Desarrolla una aplicación de detección de objetos en C# utilizando Fast RCNN, ONNX y CPU para inferencia eficiente.

• YouTube
• 24 minutes
• On-Demand
• Free Video