Dataset Annotation Editor & Labeling – Browser-based image and XML bounding box editor

Summary: This tool enables editing and managing bounding box annotations for images directly in the browser without server uploads. It supports Pascal VOC XML, YOLO, and JSON formats, allowing users to load local image folders with annotations, modify bounding boxes and class labels, and save changes back to original files.

What it does

It lets users inspect, edit, and create bounding box annotations on images using configurable mappings, supporting multiple annotation formats and local file handling entirely in-browser.

Who it's for

Machine learning practitioners and dataset curators needing to clean and manage image annotation datasets efficiently.

Why it matters

It reduces friction in dataset cleaning by eliminating setup and server dependencies, enabling faster, visual, and consistent annotation editing.