File Exchange

image thumbnail

Deep Learning For Object Detection

version 1.0.1 (61.6 MB) by MathWorks Student Competitions Team
Code Files for MATLAB and Simulink Robotics Arena - Deep Learning for Object Detection video series

96 Downloads

Updated 08 Apr 2020

From GitHub

View Version History

View license on GitHub

Code files for MATLAB and Simulink Robotics Arena - Deep Learning for Object Detection video series. This series comprises of the following 4 videos:

1. Data Pre-processing for Deep Learning - https://www.mathworks.com/videos/data-preprocessing-for-deep-learning-1578031296056.html
2. Design and Train a YOLOv2 Network in MATLAB - https://www.mathworks.com/videos/design-and-train-a-yolov2-network-in-matlab-1578033233204.html
3. Import Pre-trained Deep Learning Networks into MATLAB - https://www.mathworks.com/videos/import-pretrained-deep-learning-networks-into-matlab-1578034627950.html
4. Deploy YOLOv2 to an NVIDIA Jetson - https://www.mathworks.com/videos/deploy-yolov2-to-an-nvidia-jetson-1578035533852.html

Refer to the GitHub page for more information and links: https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2

For any questions, email us at roboticsarena@mathworks.com.

Cite As

MathWorks Student Competitions Team (2021). Deep Learning For Object Detection (https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2), GitHub. Retrieved .

Comments and Ratings (5)

Howard Labido

I am trying to apply to solid waste detection like plastic bottles, straw and lid.
For plastic solid waste recycling:
https://www.wiscon-tech.com/shredder/single-shaft-shredder/

xin li

Saad Bin Sajid

Very Helpful! Allah Bless You And Guide You!

cui

yolov3/yolov4 reference here ,weclome to star~~~ https://github.com/cuixing158/yolov3-yolov4-matlab

Kha Dang

MATLAB Release Compatibility
Created with R2019b
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!