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MATLAB-Deep-Learning-Model-Hub

Discover pretrained models for deep learning in MATLAB
https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub

  • imagePretrainedNetwork
  • googlenet - deep-learning/googlenet) |
  • squeezenet
  • alexnet
  • resnet18 - deep-learning/resnet-18) |
  • resnet50 - deep-learning/resnet-50) |
  • resnet101 - deep-learning/resnet-101) |
  • mobilenetv2 - deep-learning/mobilenet-v2) |
  • vgg16
  • vgg19
  • inceptionv3
  • inceptionresnetv2
  • xception
  • darknet19
  • darknet53
  • densenet201
  • shufflenet
  • nasnetmobile
  • nasnetlarge
  • efficientnetb0
  • ConvMixer - |[GitHub](https://github.com/matlab-deep-learning/convmixer-patches-are-all-you-need) |
  • Vison Transformer - 16 - 1100<br /> Base-16 - 331.4<br /> Small-16 - 84.7<br /> Tiny-16 - 22.2| 1000|Large-16 - 85.59<br /> Base-16 - 85.49<br /> Small-16 - 83.73<br /> Tiny-16 - 78.22|[Doc](https://www.mathworks.com/help/vision/ref/visiontransformer.html) |
  • EfficientDet-D0 - deep-learning/pretrained-efficientdet-d0) |
  • YOLO v8 - deep-learning/Pretrained-YOLOv8-Network-For-Object-Detection)|
  • YOLOX - s<br />YoloX-m<br />YoloX-l | 32 <br /> 90.2<br />192.9 | 39.8 <br />45.9<br />48.6|80 |[Doc](https://www.mathworks.com/help/vision/ref/yoloxobjectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Pretrained-YOLOX-Network-For-Object-Detection)|
  • YOLO v4 - coco <br /> yolov4-tiny-coco| 229 <br /> 21.5 | 44.2 <br />19.7|80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov4objectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/pretrained-yolo-v4)|
  • YOLO v3 - coco <br /> tiny-yolov3-coco | 220.4 <br /> 31.5 | 34.4 <br /> 9.3 |80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov3objectdetector.html) |
  • YOLO v2 - COCO <br />tiny-yolo_v2-coco|181 <br /> 40 | 28.7 <br /> 10.5 |80 |[Doc](https://www.mathworks.com/help/vision/ref/yolov2objectdetector.html)<br />[GitHub](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2)|
  • Spatial-CNN - deep-learning/pretrained-spatial-CNN)|<img src="Images/lanedetection.jpg" width=150>|
  • RESA - deep-learning/Pretrained-RESA-Network-For-Road-Boundary-Detection)|<img src="Images/road_boundary.png" width=150>|
  • Single Shot Detector (SSD) - detection-using-single-shot-detector.html)|<img src="Images/ObjectDetectionUsingSSD.png" width=150>|
  • Faster R-CNN - detection-using-faster-r-cnn-deep-learning.html)|<img src="Images/faster_rcnn.png" width=150>|
  • DeepLabv3+ - deep-learning/pretrained-deeplabv3plus) |
  • segmentAnythingModel - started-with-segment-anything-model.html) |
  • U-net - raw-camera-processing-pipeline-using-deep-learning.html) | <img src="Images/rawimage.png" width=150>|
  • 3-D U-net - 3d-brain-tumor-using-deep-learning.html) | <img src="Images/Segment3DBrainTumor.gif" width=150>|
  • AdaptSeg (GAN) - D simulation data | 54.4 | [Doc](https://www.mathworks.com/help/deeplearning/ug/train-deep-learning-semantic-segmentation-network-using-3d-simulation-data.html) |<img src="Images/adaptSeg.png" width=150>|
  • Mask R-CNN - deep-learning/mask-rcnn)|
  • Pix2PixHD(CGAN) - image-from-segmentation-map-using-deep-learning.html) |<img src="Images/SynthesizeSegmentation.png" width=150> |
  • UNIT (GAN) - to-Dusk Dusk-to-Day Image Translation | 72.5 | [Doc](https://www.mathworks.com/help/images/unsupervised-day-to-dusk-image-translation-using-unit.html) |<img src="Images/day2dusk.png" width=150>|
  • UNIT (GAN) - medical-image-denoising-using-unit.html) |<img src="Images/unit_imagedenoising.png" width=150>|
  • CycleGAN - medical-image-denoising-using-cyclegan.html) |<img src="Images/cyclegan_imagedenoising.png" width=150>|
  • VDSR - resolution image from a low-resolution image) | 2.4 | [Doc](https://www.mathworks.com/help/images/single-image-super-resolution-using-deep-learning.html) |<img src="Images/SuperResolution.png" width=150>|
  • OpenPose - body-pose-using-deep-learning.html) |
  • HR Net - full-body-w32<br />human-full-body-w48 | 106.9<br />237.7 | [Doc](https://www.mathworks.com/help/vision/ref/hrnetobjectkeypointdetector.html) |
  • NeRF - deep-learning/nerf)|![NeRF](Images/nerf.jpg) |
  • SlowFast - 3D |[Doc](https://www.mathworks.com/help/vision/ref/slowfastvideoclassifier.html)
  • R(2+1)D - 3D|[Doc](https://www.mathworks.com/help/vision/ref/r2plus1dvideoclassifier.html)
  • Inflated-3D
  • CRAFT - deep-learning/Text-Detection-using-Deep-Learning) |
  • Seven Segment Digit Recognition - deep-learning/Seven-Segment-Digit-Recognition) |![](Images/7segment.png)|
  • BERT - deep-learning/transformer-models#bert-and-finbert) <br /> [Doc](https://www.mathworks.com/help/textanalytics/ref/bert.html) |
  • all-MiniLM-L6-v2 - text-analytics-toolbox-model-for-all-minilm-l6-v2-network) |
  • all-MiniLM-L12-v2 - text-analytics-toolbox-model-for-all-minilm-l12-v2-network) |
  • FinBERT - deep-learning/transformer-models#bert-and-finbert) |![](Images/finbert.png)|
  • GPT-2 - 2 model is a decoder model used for text summarization.| 1.2GB |[GitHub](https://github.com/matlab-deep-learning/transformer-models#gpt-2) |![](Images/gpt2.png)|
  • audioPretrainedNetwork
  • VGGish
  • OpenL3
  • vadnet - |[Doc](https://www.mathworks.com/help/audio/ref/vadnet.html) |<img src="Images/vadnet.png" width=150>|
  • YAMNet
  • CREPE - |[Doc](https://www.mathworks.com/help/audio/ref/crepe.html) |<img src="Images/pitch_estimation.png" width=150>|
  • wav2vec - deep-learning/wav2vec-2.0) |
  • deepspeech - deep-learning/deepspeech) |
  • PointNet - cloud-classification-using-pointnet-deep-learning.html)|
  • PointNet++ - lidar-segmentation-using-pointnet-network.html)|
  • PointSeg - cloud-classification-using-pointnet-deep-learning.html)|
  • SqueezeSegV2 - semantic-segmentation-using-squeezesegv2.html) |
  • SalsaNext - deep-learning/pretrained-salsanext)|
  • PointPillars - detection-using-pointpillars-network.html)|
  • Complex YOLO v4 - yolov4) <br /> 21 (tiny-complex-yolov4) | 3 |[GitHub](https://github.com/matlab-deep-learning/Lidar-object-detection-using-complex-yolov4)|
  • Deep-Learning-Based CHOMP (DLCHOMP) - deep-learning/pretrained-dlchomp) |
  • Get Started with Motion Planning Networks
  • mazeMapTrainedMPNET - deep-learning-based-sampler-for-motion-planning.html) |
  • **please create an issue from this repo**
  • Jianghao Wang
Programming Languages
MATLAB 11
Keywords
matlab 13 deep-learning 12 pretrained-models 11 matlab-deep-learning 10 computer-vision 8 transfer-learning 5 object-detection 3 lidar-object-detection 2 lidar 2 yolo 2 speech-to-text 2 audio 2 semantic-segmentation 2 image-processing 2 example 1 image-classification 1 efficientdet 1 autonomous-driving 1 deeplearning 1 detected-lanes 1 lane 1 lane-detection 1 cifar10-classification 1 cifar10 1 transformer 1 gpt2 1 gpt-2 1 finbert 1 bert 1 nerf 1 3d-reconstruction 1 yolov4 1 tiny-yolov4 1 salsanext 1 pointcloud-3d-detection 1 pandaset 1 automated-driving 1 deployment 1 text-detection-recognition 1 text-detection 1 seven-segments-display 1 seven-segment 1 ocr-recognition 1 ocr 1 industrial-automation 1 deeplabv3-plus-network 1 deeplabv3-plus 1 deeplabv3 1 spatial-cnn 1 scnn-network 1