track3

Track 3: Automatic Bridge Detection in Optical Satellite Images

In Track 3 the goal is to locate the bridge in the largescale optical satellite images. The coordinates of the bridge are horizontal bounding box.

Baseline Algorithm

Two-stage object detection method Faster RCNN based on ResNet-50 is developed for object detection tracks.

Introduction

It is modified from mmdetection. The master branch works with PyTorch 1.1 or higher.

• Linux
• Python 3.5+ (Say goodbye to Python2)
• PyTorch 1.1
• CUDA 9.0+
• NCCL 2+
• GCC 4.9+
• mmcv

Code

The code will be available soon.

Result

Method	Result (mAP)
Faster RCNN	59.52