Datasets:
File size: 2,256 Bytes
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{
"dataset": "m2caiSeg",
"description": "Processed m2caiSeg dataset with 19 semantic classes for surgical scene segmentation.",
"num_classes": 19,
"class_names": [
"background",
"grasper",
"bipolar",
"hook",
"scissors",
"clipper",
"irrigator",
"specimen-bag",
"trocars",
"clip",
"liver",
"gall-bladder",
"fat",
"upperwall",
"artery",
"intestine",
"bile",
"blood",
"unknown"
],
"preprocessing": {
"script": "extract_color.py",
"transforms": [
"unknown [170,0,85] -> black [0,0,0]",
"black [0,0,0] -> white [255,255,255]",
"undefined colors -> white [255,255,255]"
]
},
"color_to_class": {
"(0, 0, 0)": {
"class_id": 18,
"class_name": "unknown"
},
"(0, 85, 170)": {
"class_id": 1,
"class_name": "grasper"
},
"(0, 85, 255)": {
"class_id": 2,
"class_name": "bipolar"
},
"(0, 170, 85)": {
"class_id": 3,
"class_name": "hook"
},
"(0, 255, 85)": {
"class_id": 4,
"class_name": "scissors"
},
"(0, 255, 170)": {
"class_id": 5,
"class_name": "clipper"
},
"(85, 0, 170)": {
"class_id": 6,
"class_name": "irrigator"
},
"(85, 0, 255)": {
"class_id": 7,
"class_name": "specimen-bag"
},
"(170, 85, 85)": {
"class_id": 8,
"class_name": "trocars"
},
"(170, 170, 170)": {
"class_id": 9,
"class_name": "clip"
},
"(85, 170, 0)": {
"class_id": 10,
"class_name": "liver"
},
"(85, 170, 255)": {
"class_id": 11,
"class_name": "gall-bladder"
},
"(85, 255, 0)": {
"class_id": 12,
"class_name": "fat"
},
"(85, 255, 170)": {
"class_id": 13,
"class_name": "upperwall"
},
"(170, 0, 255)": {
"class_id": 14,
"class_name": "artery"
},
"(255, 0, 255)": {
"class_id": 15,
"class_name": "intestine"
},
"(255, 255, 0)": {
"class_id": 16,
"class_name": "bile"
},
"(255, 0, 0)": {
"class_id": 17,
"class_name": "blood"
},
"(255, 255, 255)": {
"class_id": 0,
"class_name": "background"
}
}
} |