Individual skill
model-training
Agent-driven YOLO fine-tuning — annotate, train, export, deploy
skills/training/model-training/SKILL.md
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- ai Repository topic
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Read excerpt
# Model Training
Agent-driven custom model training powered by Aegis's Training Agent. Closes the annotation-to-deployment loop: take a COCO dataset from `dataset-annotation`, fine-tune a YOLO model, auto-export to the optimal format for your hardware, and optionally deploy it as your active detection skill.
## What You Get
- **Fine-tune YOLO26** — start from nano/small/medium/large pre-trained weights
- **COCO dataset input** — uses standard format from `dataset-annotation` skill
- **Hardware-aware training** — auto-detects CUDA, MPS, ROCm, or CPU
- **Auto-export** — converts trained model to TensorRT / CoreML / OpenVINO / ONNX via `env_config.py`
- **One-click deploy** — replace the active detection model with your fine-tuned version
- **Training telemetry** — real-time loss, mAP, and epoch progress streamed to Aegis UI
## Training Loop (Aegis Training Agent)