30 open-source projects similar to labelbox/labelbox, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Labelbox alternative.
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
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
Annotate quickly images.
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
Web labeling tool for bitmap images and point clouds
A graphical user interface to annotate point clouds and 3D data.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
napari: a fast, interactive, multi-dimensional image viewer for python
Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag
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
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
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
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
FIAT enables image data annotation, data augmentation, data extraction, and result visualisation/validation.
Collaborative Annotation Toolkit for Massive Amounts of Image Data
Label images and video for Computer Vision applications
This project is the codebase used for our weak supervision experiments using E3C dataset annotated with InstructGPT-3 and dictionary.
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!
: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
This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling