![A brief introduction to object detection: Yolov3, MobileNetv3 and EfficientDet :: Imad El Hanafi — Portfolio & Blog A brief introduction to object detection: Yolov3, MobileNetv3 and EfficientDet :: Imad El Hanafi — Portfolio & Blog](https://imadelhanafi.com/img/mobilenet_arch1.jpg)
A brief introduction to object detection: Yolov3, MobileNetv3 and EfficientDet :: Imad El Hanafi — Portfolio & Blog
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Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
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Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML
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Comparison of accuracy Faster R-CNN, R-FCN, SSD and YOLO models using... | Download Scientific Diagram
![Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML](https://www.mdpi.com/sensors/sensors-20-04587/article_deploy/html/images/sensors-20-04587-g012.png)
Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML
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Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
![Comparison of accuracy Faster R-CNN, R-FCN, SSD and YOLO models using... | Download Scientific Diagram Comparison of accuracy Faster R-CNN, R-FCN, SSD and YOLO models using... | Download Scientific Diagram](https://www.researchgate.net/publication/342570032/figure/fig7/AS:908180288704513@1593538462930/Comparison-of-accuracy-Faster-R-CNN-R-FCN-SSD-and-YOLO-models-using-the-database-MS.png)
Comparison of accuracy Faster R-CNN, R-FCN, SSD and YOLO models using... | Download Scientific Diagram
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Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
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Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
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Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
![Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML](https://www.mdpi.com/sensors/sensors-20-04587/article_deploy/html/images/sensors-20-04587-g009.png)
Sensors | Free Full-Text | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities | HTML
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Comparison in terms of inference time: Tiny-YOLO versus SSD-MobileNetV2... | Download Scientific Diagram
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