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rf-detrNano-uavs-detectv2
MBARI-org/rf-detrNano-uavs-detectv2
rf-detrNano-uavs-detectv2 is a machine learning model from MBARI-org. 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.
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Updated Oct 16, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 14, 2025
- Updated
- Oct 16, 2025
- SHA
- 9d1246fc
Model card
From the Hugging Face model README
rf-detrNano-uavs-detectv2
UAVS model trained on all verified object classes, collapsed to only one class: - object.
rf-detr size Nano
Peter Robicheaux, James Gallagher, Joseph Nelson, Isaac Robinson. (Mar 20, 2025). RF-DETR: A SOTA Real-Time Object Detection Model. Roboflow Blog: https://blog.roboflow.com/rf-detr/
Classes collapsed to object class:
Batray Bird Boat Cement_Ship Egregia Fish Jelly Kayak Kelp Mola Mooring_Buoy Otter Person Pinniped Secci_Disc Shark Surfboard Velella_velella Velella_velella_raft Whale
Acts as object detector to feed detection stage of a pipeline
same dataset, same split as uavs-yolo11x-detectv3. https://huggingface.co/MBARI-org/yolo11x-uavs-detectv3
20 epochs
Class all
Total original images in dataset: 2935
(Original images are 7,952 by 5,304 pixels, 42.4 megapixels.)
Total original localizations in dataset: 33482
Images, localizations transformed to 640 x 640 pixels, 50% overlap
Transformed images: 92703
Transformed localizations: 175178
Train/val/test split 85%/10%/5%
Train 78728 images
Validation: Images 9387 Instances 17744
Test 4588 images
Val results:
- License
- mit
- Created
- Oct 14, 2025
- Updated
- Oct 16, 2025