Kvasir-SEG_Yolo-SAM_2/metadata.json

{
  "dataset": "Kvasir-SEG",
  "model_name": "Yolo-SAM 2",
  "paper_title": "Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model",
  "paper_url": "https://arxiv.org/abs/2409.09484v1",
  "code_links": [],
  "metrics": {
    "mean Dice": "0.866",
    "mIoU": "0.764"
  },
  "table_metrics": {
    "mean Dice": "0.866",
    "mIoU": "0.764"
  },
  "prompts": [
    "Given the following paper and codebase:\n    Paper: Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model\n    Codebase: https://github.com/sajjad-sh33/yolo_sam2\n\n    Improve the Yolo-SAM 2 model on the Kvasir-SEG dataset. The result\n    should improve on the following metrics: {'mean Dice': '0.866', 'mIoU': '0.764'}. You must use only the codebase provided.\n    "
  ]
}