Open-source alternatives to OpenLabeler

Add image annotation functionality to any web page with a few lines of JavaScript.

The open platform for image labeling Try it now » Explore docs · Report Bug · Request Feature · Join the Community

To speedup and simplify image labeling/ annotation process with multiple supported formats.

A cross-platform desktop image annotation tool for machine learning

labelImg is a desktop image annotation tool and dataset preparation utility used to create labeled datasets for computer vision training. It provides a graphical interface for drawing bounding boxes around objects in images and assigning them class labels to build ground truth data for machine learning models. The software specifically supports the Pascal VOC XML annotation format, exporting image coordinates and class names into standard XML or text structures. It allows users to load predefined class lists from text files to standardize naming across an entire project. Beyond initial label

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

An open source online platform for collaborative image labeling

Python](https://img.shields.io/lgtm/grade/python/g/scalabel/scalabel.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/scalabel/scalabel/context:python)

Labelme is a Python-based image annotation tool used to create computer vision datasets. It serves as a visual editor for semantic segmentation, allowing users to define object boundaries using polygons, rectangles, points, and circles. The application also functions as a multispectral image annotator, supporting high-bit depth TIFF files used in satellite and scientific imagery. The tool incorporates AI-assisted labeling capabilities to automate the creation of masks and polygons. These features allow for shape generation driven by text prompts or interactive point selections, which propose

BBox-Label-Tool is a web-based utility designed for labeling image collections and defining spatial object boundaries to support supervised machine learning tasks. It provides an interface for drawing rectangular bounding boxes on images, allowing users to record coordinate data for object detection and visual recognition datasets. The tool operates entirely within the browser, utilizing local file processing to read images directly from the user's system without requiring data uploads. It maintains annotation records through browser-based storage, ensuring that spatial data persists across p

This project is a computer vision dataset and image annotation repository designed for training and evaluating machine learning models. It provides a large collection of labeled images, serving as an object detection benchmark and a source of pixel-level segmentation data. The repository distinguishes itself as a multimodal visual dataset by pairing images with synchronized voice, text, and mouse traces to support narrative understanding. It further enables the analysis of model fairness through the inclusion of demographic attributes and exhaustive annotations. The dataset covers a broad ra

OpenSeadragon is a JavaScript library and tiled image rendering engine designed for high-resolution image viewing. It functions as a deep zoom image viewer that renders massive images using a tiled pyramid approach, enabling smooth panning and zooming without requiring the full image file to be loaded. The project distinguishes itself through broad support for standardized image retrieval protocols, including the International Image Interoperability Framework (IIIF), IIPImage, Iris, and OpenStreetMap. It provides a hardware-accelerated rendering layer via WebGL to apply real-time filters and

PigeonXT is an extention to the original Pigeon, created by Anastasis Germanidis. PigeonXT is a simple widget that lets you quickly annotate a dataset of unlabeled examples from the comfort of your Jupyter notebook.

DataGym.ai is a modern, web based workbench to label images and videos. It allows you to manage your projects and datasets, label data, control quality and build your own training data pipeline. With DataGym.ai´s API and Python SDK you can integrate it into your toolchain.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Sloth is a tool for labeling image and video data for computer vision research.

Modern React app for bounding box annotation on mturk

Create rich adata annotations in jupyter notebooks.

comma.ai Adult Coloring Book

A simple annotation software package

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Label-Detect

KNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity.

JS Segment Annotator

Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.