Synthetic Data

5 articles about Synthetic Data - tutorials, guides, and insights.

GAN Diffusion Models Computer Vision Dataset Quality MLOps Object Detection YOLO COCO

Diffusion vs GANs for Synthetic Vision Data in 2026

Compare diffusion models and GANs for synthetic vision datasets in 2026, with practical guidance on realism, speed, label quality, and downstream training impact.

Synthetic Data

Object Detection

From Prompt to mAP: Synthetic Object Detection Workflow

A step-by-step synthetic object detection workflow from prompts to map improvement, covering generation, QA, export formats, and fast iteration loops for 2026.

Prompting Synthetic Vision Datasets for Better Training Data

Prompt Engineering

Synthetic Data

Prompting Synthetic Vision Datasets for Better Training Data

Prompts for dataset generation must optimize for labelability, coverage, and realism, not aesthetics. This guide gives a structured prompting method and failure fixes.

What is Replicate? Running AI Models via API (And When to Use It)

AI APIs

MLOps

What is Replicate? Running AI Models via API (And When to Use It)

Learn what Replicate is, how it works, and when it is the right choice for running and deploying AI models through a simple cloud API.

YOLO

Object Detection

How to Generate YOLO Datasets With Synthetic Data (Step-by-Step)

Learn how to generate YOLO-ready synthetic datasets, structure labels correctly, validate quality, and improve detection performance with iterative data generation.