Object Detection

4 articles about Object Detection - tutorials, guides, and insights.

Synthetic Data YOLO COCO Dataset Quality Computer Vision MLOps Prompt Engineering Segmentation

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.

Object Detection

Dataset Quality

Object Detection Dataset Quality Checklist for Training

Most detection problems are dataset problems. Use this checklist to validate label quality, class design, coverage, leakage, imbalance, and evaluation before scaling.

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.

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.