Open-source alternatives to VoTT

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

labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for machine learning models. It functions as a desktop utility for drawing rectangular labels on images and saving object coordinates and class names in common machine learning formats. The tool is specifically designed to generate and edit PascalVOC formatted XML files and create image labels in the text-based format required by YOLO object detection pipelines. The software covers object detection annotation and training data preparation, including the ability to manage label catego

Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a web-based interface for teams to import raw text, mark datasets, and export structured annotations for model training. The project specifically supports text annotation for classification and named entity recognition tasks. It enables teams to coordinate multiple users on a single project to maintain consistent labeling guidelines and increase the speed of dataset creation. The system includes tools for data management and team coordination, providing the ability to import raw data

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

nofwl is a cross-platform desktop client for interacting with large language models. It serves as a graphical user interface that connects to external artificial intelligence services using personal API keys. The application provides a localized experience with support for multiple system languages and customizable visual themes, including light, dark, and system-synchronized schemes. It operates across Windows, macOS, and Linux. The client manages conversation history and user configuration through local-first data storage, persisting chat messages as structured text files on the user's dev

JupyterLab Desktop is a standalone desktop application for interactive computing and coding. It serves as a native wrapper that bundles the JupyterLab web interface and a Python kernel into a single installation. The application provides a dedicated workspace for creating documents that contain live code, equations, visualizations, and narrative text. It utilizes an Electron shell to provide a consistent, isolated user interface for a desktop data science workflow. The system manages the local installation of JupyterLab and handles the orchestration of backend computing kernels. It includes

CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a self-hosted interface for labeling images, videos, and 3D data to create datasets for vision AI models. The platform features AI-assisted data labeling to automate the creation of masks and bounding boxes, utilizing a plug-in system to connect external machine learning models. It includes a consensus-based quality assurance system that verifies label accuracy by comparing independent annotations. The system covers collaborative team management, project organization through task decomp

This project is a PyTorch deep learning tutorial and educational resource. It provides a structured curriculum and step-by-step guides for designing, training, and validating neural networks from scratch. The resource includes specific guides on computer vision implementation, focusing on object detection and image classification using convolutional neural networks. It also provides instructions for optimizing model performance through hardware acceleration to reduce training time. The materials cover the full model development lifecycle, including tensor operations, image dataset preparatio

BoostNote-App is a collaborative project management tool and team documentation platform. It functions as a markdown knowledge base and document manager designed for organizing shared technical requirements and team notes. The application is delivered as an Electron desktop application, providing a cross-platform standalone installation. It employs a local-first documentation model, storing content on the local device before synchronizing changes to a remote server in the background. The platform covers shared knowledge management, collaborative technical documentation, and DevOps team coord

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)

Collaborative Annotation Toolkit for Massive Amounts of Image Data

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

A collaborative tool for labeling image data for yolo

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

A cross-platform desktop image annotation tool for machine learning

OpenLabeler is an open source desktop application for annotating objects for AI appplications

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

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

Free to use online tool for labelling photos. https://makesense.ai

An open source online platform for collaborative image labeling

git-it-electron is a Git learning desktop application and interactive programming education tool. It provides a cross-platform environment for practicing Git and GitHub workflows through guided challenges and command line exercises. The application functions as a workflow simulator that validates local repository states to confirm the correct execution of version control commands. It uses automated state-based completion verification to scan local directories and repository histories, ensuring specific learning steps are performed correctly before a user progresses. The software covers comma

This is a mobile object database and NoSQL local data store that replaces relational tables with a schema-based model. It functions as a reactive data store, using live object observations and change notifications to trigger automatic user interface refreshes. The system provides built-in mobile cloud data synchronization to keep local datasets consistent with a remote server across multiple devices. It also includes security features for encrypted local storage, protecting sensitive on-disk data using at-rest encryption keys and fine-grained access control. Broad capabilities include object

OsmAnd is a mobile navigation application and vector map viewer that uses OpenStreetMap data to provide offline map access, turn-by-turn routing, and geospatial tools. It functions as a mobile routing engine and a GPX track recorder, allowing users to navigate and record movement without an active internet connection. The project integrates a mobile interface for contributing to the OpenStreetMap project, enabling users to report map errors and add new points of interest directly from their devices. It also includes a system for visualizing satellite imagery and custom tile overlays on top of

Open Design is an AI design orchestration platform and LLM agent workspace designed for generating prototypes, presentations, and motion graphics. It functions as a local-first environment that integrates various command-line AI agents and coding tools into a unified design workflow, allowing users to migrate design specifications into brand-compliant source code. The project is distinguished by its ability to enforce visual consistency through a design system manager that defines brand contracts and tokens using Markdown. It features a specialized motion graphics generator that converts HTML

Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf

Notable is a local-first markdown note taking application and document manager. It functions as a personal knowledge base that persists notes as plain text files on the local disk to ensure data portability and user ownership. The application provides a markdown editor featuring a split-pane live preview for real-time rendering of content, including mathematical expressions and diagrams. Information is organized through a hierarchical tagging system that allows for nested labels and multi-dimensional categorization. The software includes tools for bulk note management to apply operations acr