Label Studio is a multi-type data labeling and annotation tool with standardized output format
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Make drawing and labeling bounding boxes a piece of cake
Web application for image labeling and segmentation
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
[SIGGRAPH Asia 2024] TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
A collaborative tool for labeling image data for yolo
This is a port of Erin Catto/box2d's b2_dynamic_tree from C++ to C#, intended for use in Unity. It's a very faithful translation with a couple of additional C# creature comforts for usability.
Downloads GML files from a set of WFS service in a pseudo-paginated way using bounding boxes.
AI Assisted Image and Video Training Data Labeling @ Scale
Bounding Box Editor and Exporter
A street tree API (work in progress).
This project is aimed at converting between two representations of text detection bounding box labels (rotated rectangle bounding boxes): txt and xml.
Plugins to extend Label Studio with custom workflows, integrations, and UI components.
Python script based on ANTs to locate (center & crop) any region given in the CerebrA atlas, while keeping the MRI in its native space.
This plugin return the xmin, ymin, xmax, ymax of the current view window in Qgis, and the GetMap request of the selected WMS.
Teeny tiny module for calculating aspect ratio from bounding box coordinates ✨