Multi-model Fusion Solution for IEEE UV 2022 “Vision Meets Algae” Object Detection Challenge

Abstract

This report summarizes the fourth-place solution of the “Vision Meets Algae” object detection challenge held on IEEE UV’2022 focuses on object detection in marine biology images obtained through the microscope. First, we experimented with a large number of backbones and necks to improve mAP by enhancing the model structure. Then, we designed and tested a variety of data augmentation schemes based on algal characteristics from a data perspective. Finally, with multiple models ensembled adopted, our methods achieve 57.579% mAP on the test set.