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
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
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
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
Cloud Annotations este o platformă bazată pe web concepută pentru adnotarea colaborativă a imaginilor și pregătirea seturilor de date pentru computer vision. Oferă o interfață pentru echipe pentru a desena bounding box-uri și poligoane peste media digitală, transformând imaginile brute în date de antrenare structurate pentru modelele de machine learning.
The main features of cloud-annotations/cloud-annotations are: Computer Vision Tools, Machine Learning Data Preparation, Collaborative Annotation, Real-time Sync Engines, Data Labeling Tools, Vision Dataset Preparation, Interactive Canvas Drawing, Image Annotation Tools.
Open-source alternatives to cloud-annotations/cloud-annotations include: puzzledqs/bbox-label-tool — BBox-Label-Tool is a web-based utility designed for labeling image collections and defining spatial object boundaries… opencv/cvat — CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a… doccano/doccano — Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a… tzutalin/labelimg — labelImg is a desktop image annotation tool and dataset preparation utility used to create labeled datasets for… cvat-ai/cvat — CVAT is an open-source, web-based platform designed for annotating images, videos, and 3D point clouds to create… humansignal/labelimg — labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for…