ML Report: rewrite for deployed smallrocket model#363
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xiaotianlou wants to merge 2 commits intomainfrom
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ML Report: rewrite for deployed smallrocket model#363xiaotianlou wants to merge 2 commits intomainfrom
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Rewrote ML report from V1/V2/V3 P2 pipeline narrative to focus on the actually deployed YOLO26s model (train63, smallrocket). Key changes: - Document actual training methodology (mosaic=1.0, lr0=0.01, 420ep) - Add deployment pipeline section (ONNX -> TensorRT FP16 -> DeepStream) - Add deployment metrics (DS mAP50-95=0.631, DS small=0.341) - Document P2 failure as lesson learned (0.765 train -> 0.539 deploy) - Add ongoing improvement experiments (Plans D/G/H/I/J) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace V1 P2 three-stage pipeline data (Stage 1/2/3 = 0.614/0.700/0.750) with actual deployed smallrocket metrics: - Training: mAP50-95=0.694, mAP50=0.947 - Deployed (DS FP16): mAP50-95=0.631, mAP50=0.875 - Updated speaker note to describe YOLO26s + TensorRT FP16 pipeline Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Key changes
docs/Extras/MachineLearning/MLReport.tex— complete rewritedocs/Presentations/D2_FinalPresentation/slides/09-ml-results.tex— updated metricsNote
Do NOT merge — experiment/documentation branch for reference only.
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