rf-detrNano-uavs-detect
UAVS model trained on all verified object classes, collapsed to only one class: - object.
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
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.431
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.635
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.456
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.272
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.348
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.490
10 epochs
Class all
Total original images in dataset: 2935
Total original localizations in dataset: 33482
Images, localizations transformed to 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