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RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...

Real-time data improves visibility and speeds up issue detection, reducing downtime and delays. Live metrics enable faster, more effective production decisions and help optimize performance on the ...

Abstract: For resilience and reliability of modern data-driven applications, self-healing data pipelines are necessary. Current technique of fault detection and recovery is usually implemented using ...

Abstract: We present a novel multimodal dataset for cognitive load assessment in real-time (CLARE). The dataset contains physiological and gaze data from 24 participants with self-reported cognitive ...