Discover pretrained models for deep learning in MATLAB

Deep Learning Transformer models in MATLAB

This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.

Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.

This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.

YOLO v8 training and inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualiz…

Mask-RCNN training and prediction in MATLAB for Instance Segmentation

Repo for ResNet-50

Spatial-CNN for lane detection in MATLAB.

DeepLabv3+ inference and training in MATLAB for Semantic Segmentation

Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB

Repo for GoogLeNet

Repo for ResNet-18

Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.

Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB

Repo for MobileNet-v2

Repo for ResNet-101 model

This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.

This sample script is to measure the stride of a runner in video by using pretrained deep learning model and simple signal processing.