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MATLABDeepLearningModelHub.mlx

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README.md

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@@ -88,7 +88,7 @@ These networks have been trained to detect 80 objects classes from the COCO data
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| [YOLOX](https://github.com/matlab-deep-learning/Pretrained-YOLOX-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 |[GitHub](https://github.com/matlab-deep-learning/Pretrained-YOLOX-Network-For-Object-Detection)|
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| [YOLO v4](https://www.mathworks.com/help/vision/ref/yolov4objectdetector.html) | yolov4-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)|
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| [YOLO v3](https://www.mathworks.com/help/vision/ref/yolov3objectdetector.html)| darknet53-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) |
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| [YOLO v2](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2) | darknet19-VOC <br /> darknet19-COCO <br />tiny-yolo_v2-coco|180 <br /> 181 <br /> 40 | 75.4 <br /> 28.7 <br /> 10.5 |80 |[GitHub](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2)|
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| [YOLO v2](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2) | darknet19-COCO <br />tiny-yolo_v2-coco|181 <br /> 40 | 28.7 <br /> 10.5 |80 |[GitHub](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2)|
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**Tips for selecting a model**
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