The training times using 50% of the unbalanced dataset (in minutes) and 30 epochs.

مواد مشابهة

• The mAP for all algorithms and 50% of the data used for training.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for K-complexes detection when the detectors trained on a balanced dataset with 1044 images for each class, and 60% of the data used for training and 50% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for sleep spindles detection when the detectors trained on a balanced dataset with 1044 images for each class, and 60% of the data used for training and 50% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for K-complexes detection when the detectors trained on a balanced dataset with 271 images for each class, and 60% of the data used for training and 50% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for sleep spindles detection when the detectors trained on a balanced dataset with 271 images for each class, and 60% of the data used for training and 50% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)