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
An open source platform to annotate data for Large language models - at scale
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.
The main features of datagym-ai/datagym-core are: Image Annotation, Multimodal Annotation Tools.
Open-source alternatives to datagym-ai/datagym-core include: openimages/dataset — This project is a computer vision dataset and image annotation repository designed for training and evaluating machine… puzzledqs/bbox-label-tool — BBox-Label-Tool is a web-based utility designed for labeling image collections and defining spatial object boundaries… openseadragon/openseadragon — OpenSeadragon is a JavaScript library and tiled image rendering engine designed for high-resolution image viewing. It… ai4bharat/anudesh — An open source platform to annotate data for Large language models - at scale. alexandre01/ultimatelabeling — A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker. ale152/muvilab — MUltiple VIdeos LABelling tool is a manual annotation tool to help you labelling videos for computer vision, machine…