awesome-data-labeling
Section: General · Web labelling tool for camera and LIDAR data
Entry
Appears in 4 awesome lists
Point cloud and image semantic segmentation editor by Hitachi Automotive And Industry Laboratory, point cloud annotator / labeling.
Section: General · Web labelling tool for camera and LIDAR data
Section: Others · Point cloud and image semantic segmentation editor by Hitachi Automotive And Industry Laboratory, point cloud annotator / labeling.
Section: Data Annotation and Synthesis · Hitachi's Open source tool for labelling camera and LIDAR data.
Section: Annotation · A web based labeling tool for creating AI training data sets (2D and 3D).
Standard data-centric AI package for data quality and machine learning, automatically detecting label errors, outliers, and dataset issues to improve scientific dataset reliability and model performance (11K+ stars, MIT License)
An SDK for logging computer vision and robotics data paired with a visualizer for exploring that data over time. It lets you debug and understand the internal state and data of your systems with minimal code. Licence: Dual licence under MIT OR Apache-2.0.
Label Studio is a multi-type data labeling and annotation tool with standardized output format.
MeshLab is an open source, portable, and extensible system for the processing and editing of unstructured large 3D triangular meshes
Multi-type data labeling and annotation tool with standardized output format. Configurable interface for images, text, audio, video, and time series with ML-assisted labeling. Apache 2.0 licensed.
open-source data annotation and feedback collection platform for LLM and NLP datasets.
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…
Open-source text annotation tool for machine learning practitioners. Features text classification, sequence labeling, and sequence-to-sequence tasks for sentiment analysis, NER, and summarization. MIT licensed.