person_monitor_fy/dependence/PaddleDetection/configs/rcnn_enhance/README_en.md

Practical Server Side Detection

Introduction

• In recent years, the object detection task in image has been widely concerned by academia and industry. ResNet50vd pretraining model based on SSLD distillation program training in PaddleClas (Top1 on ImageNet1k verification set) Acc is 82.39%), combined with the rich operator of PaddleDetection, PaddlePaddle provides a practical server side detection scheme PSS-DET(Practical Server Side Detection). Based on COCO2017 object detection dataset, V100 single gpu prediction speed is 61FPS, COCO mAP can reach 41.2%.

Model library

Backbone	Network type	Number of images per GPU	Learning rate strategy	Inferring time(fps)	Box AP	Mask AP	Download	Configuration File
ResNet50-vd-FPN-Dcnv2	Faster	2	3x	61.425	41.5	-	link	Configuration File