multispectral_uav_detection: weights

Checkpoints for marymikkey/multispectral_uav_detection (YOLO11s, RGB / IR / RGBT mid-fusion P3, built on the YOLOv11-RGBT fork, commit 9cc2e208).

The folder layout matches DIPLOMA_ROOT in the code repo, so the evaluation and transfer scripts find the weights without path changes:

hf download marymikkey/multispectral_uav_detection --local-dir $DIPLOMA_ROOT

Path	Model
pretrain/runs/yolo11s_rgb_pretrain	RGB pretrain (unpaired data)
pretrain/runs/yolo11s_gray_ir_pretrain_100ep	IR pretrain (unpaired data)
train/runs/antiuav_resync/yolo11s_{rgb,ir}_from_scratch	RGB-only / IR-only, Anti-UAV-RGBT
train/runs/antiuav_resync/yolo11s_rgbt_midfusion_p3_from_scratch	RGBT mid-fusion from scratch
train/runs/antiuav_resync/yolo11s_rgbt_midfusion_p3_rgb_ir_pretrained_{rgb,ir}_neck_head_freeze_backbones	RGBT, transferred frozen backbones, RGB or IR neck/head
train/runs/antiuav_resync/*_poly_finetune_crop_x287_1248	the five models above fine-tuned on field data (1248x1248)

Each best.pt stores its training arguments. SHA256SUMS lists checksums.