Die Hauptfunktionen von labelbox/labelbox sind: Annotation, Annotation and Data Tools, Datenannotation, Image Annotation.
Open-Source-Alternativen zu labelbox/labelbox sind unter anderem: opencv/cvat — CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a… wkentaro/labelme — Labelme is a Python-based image annotation tool used to create computer vision datasets. It serves as a visual editor… abreheret/pixelannotationtool — Annotate quickly images. tzutalin/labelimg — labelImg is a desktop image annotation tool and dataset preparation utility used to create labeled datasets for… hitachi-automotive-and-industry-lab/semantic-segmentation-editor — Web labeling tool for bitmap images and point clouds. kyamagu/js-segment-annotator — JS Segment Annotator.
Labelme is a Python-based image annotation tool used to create computer vision datasets. It serves as a visual editor for semantic segmentation, allowing users to define object boundaries using polygons, rectangles, points, and circles. The application also functions as a multispectral image annotator, supporting high-bit depth TIFF files used in satellite and scientific imagery. The tool incorporates AI-assisted labeling capabilities to automate the creation of masks and polygons. These features allow for shape generation driven by text prompts or interactive point selections, which propose
CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a self-hosted interface for labeling images, videos, and 3D data to create datasets for vision AI models. The platform features AI-assisted data labeling to automate the creation of masks and bounding boxes, utilizing a plug-in system to connect external machine learning models. It includes a consensus-based quality assurance system that verifies label accuracy by comparing independent annotations. The system covers collaborative team management, project organization through task decomp
labelImg is a desktop image annotation tool and dataset preparation utility used to create labeled datasets for computer vision training. It provides a graphical interface for drawing bounding boxes around objects in images and assigning them class labels to build ground truth data for machine learning models. The software specifically supports the Pascal VOC XML annotation format, exporting image coordinates and class names into standard XML or text structures. It allows users to load predefined class lists from text files to standardize naming across an entire project. Beyond initial label
Annotate quickly images.