Data and feature engineering · MLD-1200
Synthetic data
Artificially generated examples used for training, evaluation, or testing.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Generate task demonstrations with a teacher model.
Original caveat
Synthetic labels and outputs can contain systematic errors.
Context and aliases
Level: Intermediate. Stages: Data · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Technology connections
- Albumentations / AlbumentationsX — Image augmentation family with a legacy package and an actively developed AlbumentationsX successor.
- Blender — 3D modeling, rendering and simulation application.
- ComfyUI — Node-based application for generative model workflows.
- Detectron2 — PyTorch-based detection and segmentation framework.
- Kornia — Differentiable computer-vision operations for PyTorch.
- MONAI — PyTorch-based framework for medical imaging AI.
- OpenCV — Computer-vision and image-processing library.
- Pillow — Python image loading, editing and drawing library.
- TorchVision — PyTorch vision datasets, transforms, operators and models.
Original references
- scikit-learn: cross-validation ↗ · Reference link
- scikit-learn: missing-value imputation ↗ · Reference link
- scikit-learn: preprocessing ↗ · Reference link
- scikit-learn: feature selection ↗ · Reference link
- Original reference URL ↗