Add filterable artifact browser
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@@ -57,8 +57,9 @@ written under `var/custom_yolo_runs` and are scanned by the results dashboard.
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When a dataset is selected, the dataset panel shows its custom YOLO `best.pt`,
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prediction previews, heatmap previews, and inline training curve previews.
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Segmentation previews, YOLO heatmaps, and loss/metric artifacts are grouped on
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the results dashboard, and YOLO-style `results.csv` files are parsed into
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lightweight training curves.
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the results dashboard. The artifact browser can filter by model family and
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artifact role, and YOLO-style `results.csv` files are parsed into lightweight
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training curves.
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Job APIs and the SSE log stream also expose structured progress parsed from
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YOLO, MMSeg/MMEngine, SegModel-style epoch logs, and generic tqdm percentages,
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so the queue and live log panel can show stage, epoch/iteration, and percent
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