The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Abstract: Potholes on roadways pose a significant hazard to vehicular safety and infrastructure, particularly in developing regions. Traditional object detection models have shown limitations in ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Unlock what really makes your child tick — United Family’s “Learning Code” Assessment offers a warm, science-backed way to understand their unique learning strengths (and struggles) across attention, ...
python test.py --data data/coco.yaml --img 640 --batch 32 --conf 0.001 --iou 0.65 --device 0 --weights yolov7.pt --name yolov7_640_val You will get the results: Average Precision (AP) @[ IoU=0.50:0.95 ...
An autonomous system that detects road potholes in real-time using computer vision (YOLO v8) and ultrasonic sensors. When a pothole is detected, an automated filling mechanism is triggered to ...
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