Model Card for Handfish Detector

A Faster RCNN object detector for handfish, a rare bony fish found in the waters around Tasmania, Australia.

Model Details

Model Description

Developed by: Heather Doig, Australian Centre for Robotics, University of Sydney
Model type: Faster RCNN object detector from Detectron2 with ResNet50 with FPN backbone
License: MIT
Finetuned from model [optional]: detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl

Uses

For use on images captured by Autonomous Underwater Vehicles in the IMOS program.

Training Details

Training Data

Model trained on 200 images with bounding box annotations of handfish from Squidle+ squidle.org as well as 2000 synthetic images of handfish in underwater scenes generated by Blender and Infinigen infinigen.org

Training Procedure

Trained with detectron2 with student-teacher model using exponential moving average to update the weights of the teacher.