README.md

---
license: mit
tags:
- FasterRCNN
- PyTorch
- Marine
---
# Model Card for Handfish Detector

<!-- Provide a quick summary of what the model is/does. -->

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](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](https://imos.org.au/) program.

## Training Details

### Training Data

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

### Training Procedure

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