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Docs/rfdetr training api v2 - #1

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imagra93 wants to merge 3 commits into
LibreYOLO:mainfrom
imagra93:docs/rfdetr-training-api-v2
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imagra93 wants to merge 3 commits into
LibreYOLO:mainfrom
imagra93:docs/rfdetr-training-api-v2

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Summary

  • Replace old RF-DETR training API (batch_size, lr, output_dir, COCO-format dir) with the new one (batch, nbs, device, amp, data.yaml)
  • Fix RF-DETR size variants: bm (n/s/m/l)
  • Fix nbs default for RF-DETR: 64 → 16 (RFDETRConfig default)
  • Drop torchrun for multi-GPU — both YOLO9 and RF-DETR now use device="0,1"
  • Add CLI example for RF-DETR training
  • Add RF-DETR resume pattern and allow_download_scripts to API reference
  • Note that RF-DETR imgsz is derived from size variant and not overridable
  • Remove stale RF-DETR COCO dataset format subsection (now uses data.yaml)
  • Add package-lock.json

EHxuban11 added a commit that referenced this pull request Aug 3, 2026
The leaderboard shipped with invented numbers for 15 families, labelled as
placeholders from issue #542. They are now removed. What remains is the two
campaigns that actually finished: YOLOv9-S at 0.559 mAP50-95 and YOLOv9-T at
0.540, each having trained and scored all 100 datasets with none skipped and
every dataset protocol-conformant.

Median per-dataset training time is computed from the wall_seconds recorded
in the per-dataset stats files of each published run, not estimated.

The contest framing goes with the invented data. Ranks, tiers, the champion
card and the accuracy-crown/sweet-spot/hard-floor callouts all asserted
findings no completed run supports, and a "#1 of 2" crown would be noise.
The prose and FAQ move the same way: the article now states the completion
rule (a family is listed only after a full 100 from a clean state) and
points at the published artifacts so a reader can check rather than believe.
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