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Imglab

Imglab is a browser-based application for annotating images with object shapes and feature points, then exporting labeled data for dlib and other object detectors. It supports dlib XML and pts, Pascal VOC, and COCO formats.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Imglab — OpenViST project profile in AI Data & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Imglab when the immediate task is image annotation for an object-detector dataset, especially when the required export format is among those it lists.

Who it is for

  • Machine-learning practitioners preparing labeled images for object detection.
  • dlib users who need to label objects, landmarks, or feature points.
  • Dataset teams that need shape editing and exports in listed annotation formats.

Documented uses

  • Label objects in images using rectangles, circles, or polygons.
  • Add, edit, and reorder landmark or feature-point annotations.
  • Export annotations in a format supported by a downstream training workflow.
Before you choose

Requirements & limits

The project says the browser application has no prerequisites and describes a separate guide for local offline installation. It identifies the application as open source under the MIT license.

  • The listed export formats are dlib XML, dlib pts, Pascal VOC, and COCO; TensorFlow support is described as planned, not available.
  • Autosave is in browser cache, and the README says users export to save work on disk.
  • The README says the project needs maintainers, which may matter when evaluating maintenance expectations.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Export labeled data in a supported format

Save completed annotations in a format listed for downstream object-detection workflows.

Before you start

  • An annotated image set in Imglab.

Steps

  1. Choose an export format supported by the project: dlib XML, dlib pts, Pascal VOC, or COCO.

  2. Export the project to save the annotation data on disk.

Expected outcome

An exported annotation dataset in one of the formats listed by Imglab.

Guide limitations

  • The available evidence lists formats but does not document format-specific export settings or downstream training steps.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
NaturalIntelligence/imglab · Official homepage title · retained in its source language
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