# Practical Server-side detection method base on RCNN## Introduction* This is developed by PaddleDetection. Many useful tricks are utilized for the model training process. More details can be seen in the configuration file.## Model Zoo| Backbone | Type | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download || :---------------------- | :-------------: | :-------: | :-----: | :------------: | :----: | :-----: | :----------------------------------------------------------: || ResNet50-vd-FPN-Dcnv2 | Faster | 2 | 3x | 61.425 | 41.6 | - | [model](https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_dcn_r50_vd_fpn_3x_server_side.tar) || ResNet50-vd-FPN-Dcnv2 | Cascade Faster | 2 | 3x | 20.001 | 47.8 | - | [model](https://paddlemodels.bj.bcebos.com/object_detection/cascade_rcnn_dcn_r50_vd_fpn_3x_server_side.tar) |
