Code Files for MATLAB and Simulink Robotics Arena - Deep Learning for Object Detection video series
https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2
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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.
Citation pour cette source
MathWorks Student Competitions Team (2026). Deep Learning For Object Detection (https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2), GitHub. Extrait(e) le .
Informations générales
- Version 1.0.1 (64,1 Mo)
-
Afficher la licence sur GitHub
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2019b et ultérieures
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.1 | Updated description |
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| 1.0.0 |