A new open-source offline tool, YOLO Annotator, offers local labeling for YOLO, Detectron2, and Mask2Former, supporting complex segmentation tasks without server infrastructure.
Construction companies are deploying computer vision systems based on YOLO and DETR models to automate safety monitoring and PPE detection on building sites.
A browser-based JavaScript Viewer enables configuration and monitoring of video analytics pipelines, integrating RTSP stream management, YOLO neural network inference, and event logging.
A developer built a computer vision tool to classify buckwheat quality, deploying the model as a standalone HTML file for offline use on production lines.
