Create README.md

README.md

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+---
+license: mit
+---
+# 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.
+