Kvasir-SEG_EffiSegNet-B5/metadata.json

{
  "dataset": "Kvasir-SEG",
  "model_name": "EffiSegNet-B5",
  "paper_title": "EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder",
  "paper_url": "https://arxiv.org/abs/2407.16298v1",
  "code_links": [],
  "metrics": {
    "mean Dice": "0.9488",
    "mIoU": "0.9065",
    "F-measure": "0.9513",
    "Precision": "0.9713",
    "Recall": "0.9321"
  },
  "table_metrics": {
    "mean Dice": "0.9488",
    "mIoU": "0.9065",
    "F-measure": "0.9513",
    "Precision": "0.9713",
    "Recall": "0.9321"
  },
  "prompts": [
    "Given the following paper and codebase:\n    Paper: EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder\n    Codebase: https://github.com/ivezakis/effisegnet\n\n    Improve the EffiSegNet-B5 model on the Kvasir-SEG dataset. The result\n    should improve on the following metrics: {'mean Dice': '0.9488', 'mIoU': '0.9065', 'F-measure': '0.9513', 'Precision': '0.9713', 'Recall': '0.9321'}. You must use only the codebase provided.\n    "
  ]
}