30 open-source projects similar to sweppner/labeld, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Labeld alternative.
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
A collaborative tool for labeling image data for yolo
An open source online platform for collaborative image labeling
Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling
Label images and video for Computer Vision applications
Collaborative Annotation Toolkit for Massive Amounts of Image Data
FIAT enables image data annotation, data augmentation, data extraction, and result visualisation/validation.
Sloth is a tool for labeling image and video data for computer vision research.
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.
Fast and efficient BBox annotation for your images in YOLO, and now, VOC/COCO formats!
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
A cross-platform desktop image annotation tool for machine learning
OpenLabeler is an open source desktop application for annotating objects for AI appplications
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
The open platform for image labeling Try it now » Explore docs · Report Bug · Request Feature · Join the Community
A collaborative framework for annotating medical datasets using crowdsourcing.
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
To speedup and simplify image labeling/ annotation process with multiple supported formats.
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
MUltiple VIdeos LABelling tool is a manual annotation tool to help you labelling videos for computer vision, machine learning, deep learning and AI applications. With MuViLab you can annotate hours of videos in just a few minutes!