yolo-nb-m / monitoring /README.md
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Add YOLOv8m trained-from-scratch on COCO2017 (weights, metrics, model card)
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Monitoring images — drop dashboard screenshots here

Save the screenshots you capture from the training dashboard into this folder, using these exact filenames so the model card references them automatically. PNG or JPG, any resolution (higher is better — these become figures in the published model card).

filename what to capture
map_curve.png The mAP50-95 curve over epochs (both the live curve and, if shown, the ultra_mAP50_95 series).
map50_curve.png The mAP50 curve over epochs.
loss_curves.png The box / cls / dfl loss curves over epochs.
precision_recall.png The precision & recall curves over epochs.
gpu_util.png The GPU panel — 3× RTX 3090 utilization / temperature / power (shows the 200 W cap).
overview.png A full-dashboard overview screenshot (the run page as a whole).

Notes

  • Any extra images are welcome — add them and tell me the caption; I'll wire them into the model card.
  • These come from your screenshots of the dashboard. The dashboard page itself (report.html / the live site) is never published — only the images you export.
  • Once the images are here, the release-prep step embeds them and the model card's "Training curves" section will render them.