Detecting STOP Traffic Sign using Deep R-CNN (Real Time and Offline Mode)

Опубликовано: 19 Март 2025
на канале: Exploring Technologies

3,769

#transform #wavelet #matlab #mathworks #matlab_projects #matlab_assignments #phd #mtechprojects #deeplearning #projects #ai #machinelearning #artificialintelligence #matlabcode #research #signalprocessing #imageprocessing #wavelet #signals #matlabproject #deeplearningproject #artificalintelligence

Please visit, @https://www.exptech.co.in/ for more information and downloads. Also follow the Facebook page:
@https://www.facebook.com/DrAjayKrVerm...

Hello Viewers, in this video, It is explained that how one can implement a deep RCNN for detecting 'STOP' traffic signs from image and videos in both offline and real time mode.
Also, it is shown that how one can use MATLAB's Labeler app to create database for training. Here, transfer learning is used and for fine tuning, a pre trained RCNN is re trained on our own image dataset which is created with help of Image Labeler app.

This video has following contents:
Introduction.
What is Deep R-CNN?
Proposed Scheme using Deep R-CNN.
Understanding MATLAB’s Image Labeler for image database creation.
MATLAB Code for training.
MATLAB Code for testing.
Code execution and result analysis.

Links of previous videos:
1. How to create a Deep CNN:    • How to Create a Deep Neural Network i...
2. ECG signals classification using wavelet features and deep CNN:    • ECG Signals Classification using Cont...
3. Implementing deep CNN in Python using TF and Keras (Face Mask detection):    • Implementing Deep CNN in Python using...