2 个仓库
Awesome GitHub RepositoriesSpatial Data Labeling
Tools for annotating volumetric objects within 3D point clouds or depth-aware datasets.
Distinct from Spatial Data Processing: None of the candidates cover the specific task of labeling 3D spatial data for machine learning.
Explore 2 awesome GitHub repositories matching data & databases · Spatial Data Labeling. Refine with filters or upvote what's useful.
Awesome Spatial Data Labeling GitHub Repositories
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- opencv/cvat
opencv/cvat
16,086在 GitHub 上查看CVAT 是一个开源计算机视觉标注工具和可视化数据集管理平台。它提供了一个自托管界面，用于标注图像、视频和 3D 数据，以创建视觉 AI 模型的数据集。 该平台具有 AI 辅助数据标注功能，可自动创建掩码和边界框，并利用插件系统连接外部机器学习模型。它包括一个基于共识的质量保证系统，通过比较独立标注来验证标签准确性。 该系统涵盖协作团队管理、通过任务分解进行项目组织以及远程云存储集成。它还提供用于程序化工作流控制以及以行业标准格式导入和导出数据的 REST API。
Provides AI-powered automation to suggest or create visual annotations, significantly reducing manual labeling effort.
Python - cvat-ai/cvat
cvat-ai/cvat
15,317在 GitHub 上查看CVAT is an open-source, web-based platform designed for annotating images, videos, and 3D point clouds to create high-quality training datasets for machine learning. It functions as a containerized server that orchestrates the entire lifecycle of computer vision data, from initial task creation and manual labeling to quality assurance and final dataset export. The platform distinguishes itself through deep integration with machine learning models, allowing users to deploy custom AI models as serverless functions for automated object detection, tracking, and skeleton annotation. It supports co
Labels volumetric objects within three-dimensional point clouds or depth-aware data to support spatial perception tasks.
Pythonannotationannotation-toolannotations
