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handfish_detector
hdoi5324/handfish_detector
handfish_detector is a machine learning model from hdoi5324. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A Faster RCNN object detector for handfish, a rare bony fish found in the waters around Tasmania, Australia.
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 4, 2024
- Updated
- Nov 4, 2024
- SHA
- fa4dd02f
Model card
From the Hugging Face model README
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
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.
- License
- mit
- Created
- Nov 4, 2024
- Updated
- Nov 4, 2024