Single Shot Multibox Detector | SSD Object Detection Explained and Implemented
In this video, I get into Single Shot Multibox Detector or SSD, a popular real-time object detection model. We will understand how Single Shot Multibox Detector algorithm works, and also do step by step walkthrough of implementation of SSD in PyTorch.
This video is part of my object detection series, where I’ve previously covered YOLO, and now we’re exploring SSD object detection to get an understanding of how it combines aspects of YOLO and RCNN with the idea of using multiple feature maps.
We first start with a high level overview of SSD object detector, then understand each and every det…
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Chapters (13)
Intro
0:38
Single Shot Multibox Detector Intro
5:15
Default Boxes in SSD
12:16
Matching Strategy used in SSD
15:51
Loss
17:26
SSD Model Architecture
24:04
SSD Object Detector Implementation
25:38
Data Augmentation used in SSD training
30:13
SSD Model Implementation
38:47
SSD Default Boxes Implementaiton
42:23
TrainingLoss Implementation for SSD
48:08
Inference time Post-processing and transformation
50:42
Results and Experiments
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