GitHub - khondokerjahid/MobileNet_SSD-Detecting-Object: By using SSD, we only need to take one single shot to detect multiple objects within the image, while regional proposal network (RPN) based approaches such as R-CNN series that need two shots, one for generating region proposals, one for detecting the object of each proposal. Thus, SSD is much faster compared with two-shot RPN-based approaches.

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.idea		.idea
coco.names		coco.names
frozen_inference_graph.pb		frozen_inference_graph.pb
main.py		main.py
obj SSD.py		obj SSD.py
ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt		ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt

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By using SSD, we only need to take one single shot to detect multiple objects within the image, while regional proposal network (RPN) based approaches such as R-CNN series that need two shots, one for generating region proposals, one for detecting the object of each proposal. Thus, SSD is much faster compared with two-shot RPN-based approaches.