#数据仓库#Label Studio is a multi-type data labeling and annotation tool with standardized output format
翻译 - Label Studio是具有标准化输出格式的多类型数据标签和注释工具
#计算机科学#Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
翻译 - 使用Python的图像多边形注释（多边形，矩形，圆形，直线，点和图像级标记注释）。
#计算机科学#CVAT 是一个领先的工业级用于机器学习的图片、视频标注工具。
#计算机科学#Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
#计算机科学#Free to use online tool for labelling photos. https://makesense.ai
翻译 - 免费使用在线工具为照片加标签。 https://makesense.ai
#数据仓库#✏️ Web-based image segmentation tool for object detection, localization, and keypoints
#计算机科学#Images to inference with no labeling (use foundation models to train supervised models).
#计算机科学#Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
翻译 - 在简单的Web界面或桌面应用程序中协作并标记任何类型的数据，图像，文本或文档。
#数据仓库#The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Add image annotation functionality to any web page with a few lines of JavaScript.
Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
#自然语言处理#A list of tools for annotating data, managing annotations, etc.
#计算机科学#Computer vision based ML training data generation tool 🚀
翻译 - 基于计算机视觉的机器学习训练数据生成工具：火箭：
Project has moved to http://github.com/annotorious/annotorious
#计算机科学#Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
#计算机科学#Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
翻译 - 标签对象和节省时间（LOST）-在基于Web的环境中设计自己的智能图像注释过程。
RectLabel is an offline image annotation tool for object detection and segmentation.