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Upload model card, weights, and evaluation artifacts

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@@ -57,6 +57,13 @@ Compared with the previously published HF YOLO11M baseline, this release improve
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  ![Held-out mAP50-95](benchmark_map50_95.png)
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  ![Held-out precision and recall](benchmark_precision_recall.png)
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  ## Qualitative examples
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  The newer YOLO26 checkpoints improve most clearly in two cases:
 
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  ![Held-out mAP50-95](benchmark_map50_95.png)
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  ![Held-out precision and recall](benchmark_precision_recall.png)
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+ ## Confidence guidance
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+ From the confidence sweep used in this release:
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+ - Best benchmark confidence for YOLO26N is `conf=0.001` (highest mAP50-95 on both held-out test sets).
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+ - For practical inference, start with `conf=0.25`; use `conf=0.20` if you want fewer missed borderline boxes.
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  ## Qualitative examples
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  The newer YOLO26 checkpoints improve most clearly in two cases: