M2cai16-tool-locations _hot_ -

Researchers typically download the dataset in a structured folder layout:

def get_frame(self, idx): data = self.annotations[idx] img_path = self.root / "frames" / f"data['video']_framedata['frame']:06d.jpg" img = cv2.imread(str(img_path)) h, w = img.shape[:2] m2cai16-tool-locations

Contains approximately 2,532 to 2,811 frames (depending on the specific version/subset used) labeled with spatial bounding boxes and class IDs. Researchers typically download the dataset in a structured

Note: Bounding box coordinates follow the [x, y, width, height] format, with origin at top-left corner. Bipolar : Used for cauterization

Models are trained to detect seven specific instruments: Clipper (or Clip applier) Specimen bag Usage and Benchmarking

The dataset identifies seven distinct categories of instruments commonly used in laparoscopic procedures: : For holding tissue. Bipolar : Used for cauterization. Hook : Primarily for dissection. Scissors : For cutting tissue or sutures. Clipper : For applying surgical clips. Irrigator : For cleaning the surgical site. Specimen Bag : To collect and remove excised tissue. Research Applications and Benchmarking

Kaggle Dataset Mirror : Often contains versions used in coding competitions or specific research projects.