Projects sharing features with Cvat

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

X-AnyLabeling is an AI-assisted annotation platform and computer vision labeling tool. It provides an interface for annotating images and videos using polygons and rectangles to create training sets for machine learning models. The project distinguishes itself through the integration of external AI models via a plugin-based inference backend, allowing for automated generation of candidate labels and the execution of specialized tasks like pose estimation and object detection. It also functions as an optical character recognition tool for extracting text and layout information from document im

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

Label Studio is a multi-modal data annotation platform designed to create and manage high-quality training datasets for machine learning. It functions as a self-hosted, containerized environment that supports secure, private deployments, including air-gapped configurations. The platform provides a centralized workspace for labeling diverse media types, such as images, text, audio, and time-series data, to support supervised and reinforcement learning workflows. The platform distinguishes itself through deep integration with machine learning backends, enabling active learning loops, automated

Diaspora is a federated social networking platform that allows users to run and manage self-hosted community servers, known as pods. It operates as a distributed network where independent server nodes exchange content and users using open protocols and standardized communication schemas. The platform is distinguished by its focus on decentralized identity management and privacy-preserving communication. It includes a privacy-focused media proxy that routes external assets through a local server to protect user identity and supports cross-instance account migration, allowing users to move thei

Eladmin is a backend management system and administrative framework built with Spring Boot and Vue. It provides a complete infrastructure for creating administration panels, combining a Java Persistence API backend scaffold with a management interface to monitor system performance and log user activities. The project features automated code generation to produce frontend and backend source code and CRUD operations. It employs a role-based access control system to manage users and organizational structures, while utilizing dynamic route management to update navigation menus from the backend wi

TastyIgniter is a comprehensive restaurant management system and digital ordering engine. Built as a modular application framework, it provides the tools necessary to operate online food ordering, table reservation systems, and multi-vendor e-commerce platforms. The platform is designed to handle complex restaurant operations, including multi-location networking and multi-vendor marketplace management. It distinguishes itself through specialized restaurant automation, such as coordinating guest limits and time slots for bookings, managing ingredient and allergen catalogs, and implementing mul

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Gauzy is an open business management platform and multi-tenant enterprise resource planning system. It provides a modular business framework designed to manage core organizational operations through a unified web interface or as a headless business API. The platform is distinguished by its integration with the Model Context Protocol, allowing it to act as a server that exposes business data and system functions as tools for AI assistants. It utilizes a dynamic plugin architecture and a dedicated marketplace to extend core business entities and services. The system covers a broad range of ope

Dependency-Track is a software composition analysis tool and vulnerability management system designed to track dependencies and supply chain risk. It functions as a platform for ingesting and analyzing CycloneDX software bills of materials to identify known vulnerabilities and license compliance issues within third-party software components. The system distinguishes itself by mirroring external vulnerability databases locally to enable fast offline analysis and using VEX documents to differentiate between technical vulnerabilities and actual contextual risks. It also integrates with identity

Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

Supervision is a computer vision toolset for normalizing model outputs, managing datasets, and visualizing annotations. It provides a framework to convert predictions from various classification and detection models into a standardized data format to ensure interoperability across different computer vision pipelines. The library features a post-processor for filtering, counting, and tracking detected objects across image frames and video streams. It includes capabilities for large image tiling to improve the detection of small objects and tools for assigning persistent identities to objects t

Cloud Annotations is a web-based platform designed for collaborative image annotation and the preparation of computer vision datasets. It provides an interface for teams to draw bounding boxes and polygons over digital media, transforming raw images into structured training data for machine learning models. The platform distinguishes itself through a real-time synchronization engine that allows multiple users to edit the same image simultaneously. By utilizing browser-based local storage and standardized data serialization, it supports offline workflows and ensures that exported annotations r

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

ISAT with Segment Anything is a desktop application designed for computer vision data labeling and interactive image segmentation. It provides a semi-automatic annotation suite that accelerates the creation of object masks, polygons, and metadata for training datasets. The application translates user actions into spatial constraints through interactive visual prompting with clicked points and bounding boxes, as well as text-based prompts. It operates via a model-agnostic inference pipeline that interchanges multiple vision and language backbone networks through a unified adapter layer. A desk

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

Jetstream is an application scaffold for Laravel that provides a pre-built identity system and team collaboration framework. It serves as a starter kit that integrates user authentication, profile management, and organizational tools into a unified project structure. The project is distinguished by its comprehensive team management capabilities, which include shared workspace organization, member invitation workflows, and role-based access control. It also features an integrated API token manager for issuing and controlling secure access tokens for external clients. The platform covers a bro

Filegator is a web-based file manager and self-hosted file sharing portal. It functions as a cloud storage gateway that allows users to organize, upload, and download files across local disks and various cloud storage providers through a single unified interface. The system features a multi-backend authentication provider capable of verifying identities via JSON files, databases, or external directory services. It includes a role-based access control system that manages user permissions, assigns home folders, and restricts access to specific files and system routes. The platform provides cap

Zeebe is a cloud-native workflow engine and distributed state machine designed for business process orchestration using BPMN and DMN standards. It operates as a high-performance gRPC workflow runtime that executes complex business processes through a partitioned event-streaming architecture. The system also functions as an orchestrator for large language model agents, coordinating AI reasoning and tool use within deterministic business processes. The engine is distinguished by its peer-to-peer broker networking and a consensus-based data replication model that ensures high availability and fa

Stack Auth is an open-source authentication and authorization platform that provides pre-built UI components, OAuth integration, team management, and session handling for web applications. It offers a complete authentication lifecycle covering sign-in, sign-up, session management, password recovery, and multi-factor security, with support for passkey authentication and OAuth providers including Google, GitHub, and Apple. The platform includes a team-based permission system with role-based access control, allowing users to be organized into teams with granular permissions for membership manage

Fine Uploader is a browser file upload widget and manager that provides a frontend interface for transferring multiple files. It functions as a chunked file upload manager and a client-side image processor. The project enables the direct transfer of files to cloud storage providers, specifically Amazon S3 and Microsoft Azure, to reduce the load on application servers. It includes tools for scaling and resizing image dimensions during the upload process to save bandwidth. The system manages large file transfers by splitting them into small pieces, allowing for pause and resume functionality.

pgai is a PostgreSQL AI toolkit and framework designed to integrate large language models and vector embeddings directly into a database. It serves as a bridge for executing machine learning model requests and performing text-to-SQL translations within standard database queries. The project provides an automated vector embedding pipeline that handles the loading, parsing, and chunking of text from tables and unstructured documents. This system utilizes a background worker to synchronize embeddings automatically as source data changes and includes specialized tools for building retrieval-augme

FiftyOne is a visual tool for curating, analyzing, and managing image and video datasets for machine learning model training. It serves as a platform for identifying annotation errors, refining ground truth labels, and evaluating vision model performance by comparing predictions against ground truth to identify failure modes. The system functions as a containerized data platform that supports team collaboration on large-scale visual datasets in a cloud environment. It includes specialized capabilities for exploring high-dimensional embeddings to discover data clusters and retrieve correspondi

VoTT is a computer vision annotation software and machine learning dataset preparation tool. It is a desktop application designed for drawing bounding boxes and assigning tags to objects in images and videos to create training datasets for object detection models. The application utilizes a cross-platform desktop interface to manage image and video assets. It features a local-first storage integration to handle large media assets directly from the host machine's file system and includes frame-rate controlled video sampling to extract specific images from video streams for labeling. The softw

Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification. By utilizing a modular architecture, the platform allows users to swap model components to balance inference speed and accuracy requirements for diverse applications. The framework distinguishes itself through its support for real-time processing and flexible deployment. It in