COCO Annotator

Description

Image Annotation Tool

Overview

COCO Annotator is a web-based platform designed for versatile and efficient image labeling, enabling the creation of training datasets for image localization and object detection tasks.

Key Features

• Segment Labeling: Ability to annotate entire image segments or specific portions thereof.
• Instance Tracking: Supports tracking individual object instances across images.
• Disjoint Object Annotation: Allows labeling of objects that have disconnected visible parts.
• COCO Format Export: Stores and exports annotations in the widely used COCO format for easy integration with machine learning workflows.

User Experience

The annotation process is facilitated through an intuitive, customizable interface equipped with a comprehensive set of tools to produce highly accurate datasets.

Technical Stack

• Frontend: Built using Vue.js and Bootstrap.
• Backend: Implemented with Flask.

Creator

Justin Brooks