roboflow-training-and-evaluation
Use when training Roboflow models, diagnosing why a model underperforms, improving accuracy, or setting up a production feedback loop — covers architecture selection, model IDs, checkpoints, Model Evaluation (confusion matrix, per-class metrics, MCP eval tools), the diagnosis-first improvement playbook, and Active Learning through the Project Model Workflow block.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/roboflow-training-and-evaluation/SKILL.md
- skills/roboflow-training-and-evaluation/active-learning.md
- skills/roboflow-training-and-evaluation/improvement-playbook.md
- skills/roboflow-training-and-evaluation/model-diagnosis.md
- skills/roboflow-training-and-evaluation/model-ids.md
- skills/roboflow-training-and-evaluation/nas-results.md
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