30 open-source projects similar to datagym-ai/datagym-core, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Datagym Core 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
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!
A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker
A collaborative tool for labeling image data for yolo
A data-centric annotation tool to increase the accuracy of your Named Entity Recognition projects which helps
The Bio-Image Indexing and Graphical Labelling Environment (BIIGLE) is a web service for the efficient and rapid annotation of still images and videos. Read the paper or take a look at the manual.
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
:fire: One of the most comprehensive open-source data annotation platform.
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.
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Fast and efficient BBox annotation for your images in YOLO, and now, VOC/COCO formats!
QSL is a simple, open-source media labeling tool that you can use as a Jupyter widget. More information available at https://qsl.robinbay.com. It supports:
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
Adala: Autonomous DAta (Labeling) Agent framework
: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.