यह रिपॉजिटरी आपको अत्याधुनिक डीप लर्निंग प्रशिक्षण उद्देश्यों के लिए उपयोग में आसान लेबलिंग टूल प्रदान करती है। यह ऑटो-लेबलिंग का समर्थन करती है।
bmw-innovationlab/bmw-labeltool-lite की मुख्य विशेषताएं हैं: Annotation, डेटा एनोटेशन।
bmw-innovationlab/bmw-labeltool-lite के ओपन-सोर्स विकल्पों में शामिल हैं: abreheret/pixelannotationtool — Annotate quickly images. napari/napari — napari: a fast, interactive, multi-dimensional image viewer for python. heartexlabs/label-studio — Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine… hitachi-automotive-and-industry-lab/semantic-segmentation-editor — Web labeling tool for bitmap images and point clouds. labelbox/labelbox. opencv/cvat — CVAT is an open-source computer vision annotation tool and visual dataset management platform. It provides a…
Annotate quickly images.
Web labeling tool for bitmap images and point clouds
Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag