Instructions
- •Read config.json for output_dir
- •Run: uv run .agents/skills/augment/scripts/run.py
- •Outputs: output/augmented/ with transformed images and labels
利用图像变换生成合成训练数据变体,通过翻转、亮度抖动和噪声等方式提升数据集的多样性。建议在完成标注后使用。
--- frontmattername: augment description: Generate synthetic training data variations using image transforms. Increases dataset diversity with flips, brightness jitter, and noise. Use after labeling.