Foreground object segmentation that captures the spatial and temporal information of moving objects in video is the most fundamental task for activity understanding in many intelligent applications, ...

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset. Topics opencv image-processing object-detection opencv-python ...

Table 1 (a) employs a suite of conventional metrics for assessing semantic segmentation, encompassing global accuracy, mean accuracy, mean intersection over union (IoU), weighted IoU, and the boundary ...

Semi-supervised video object segmentation is a task of propagating instance masks given in the first frame to the entire video. It is a challenging task since it usually suffers from heavy occlusions, ...

Conclusions: The AI model implemented allowed the successful detection and segmentation of tumoral lesions in whole-body MR scans, outperforming current methods. This methodology could streamline ...

YOLOv8 is a state-of-the-art object detection, segmentation, and classification algorithm developed by Ultralytics. It builds on previous YOLO versions with improved accuracy, speed, and flexibility.

- Revolutionizing Vessels and Aircraft Monitoring with SAR Analytics - TOKYO, May 19, 2025 /PRNewswire/ -- Synspective Inc., a provider of Synthetic Aperture Radar (SAR) satellite data and analytics ...