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Run a managed YOLO training session — validates dataset, trains, analyzes, generates clean report.
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Basado en la clasificación ocupacional SOC
| name | training-loop |
| description | Run a managed YOLO training session — validates dataset, trains, analyzes, generates clean report. |
Single managed training run with automatic reporting.
yolo-project.yamlyolo-validate — stop on errorsyolo-train or yolo-finetuneyolo-analyzeexperiments/Set up autonomous training monitoring — creates cron jobs to track long-running training, auto-continue pipeline when training completes.
Audit YOLO dataset quality — class distribution, annotation quality, image stats, and improvement suggestions.
Orchestrate the full active learning loop: train, analyze, push to CVAT, wait for review, pull, merge, retrain.
Analyze YOLO training runs — compares to baseline/best, checks per-class regression, analyzes training dynamics and tune convergence, writes actionable recommendations.
Run autonomous YOLO training experiments — reads training-plan.md, assesses bottlenecks, acts strategically, and delegates HP optimization to model.tune().
Profile YOLO model inference speed, FPS, and size across image sizes and export formats.