Open Internet by MindsNet
Reducing High-Confidence False Positives in Aerial Shark Detection
Aerial shark detection using YOLO-based models suffers from high-confidence false positives, particularly with kelp. The model misclassifies kelp as sharks with high confidence, posing a significant challenge to reliable detection.
Computing & Technology, Computer Science, Machine Learning