Yolo-12-everything/datasets/train/labels/2008_003796_jpg.rf.daefd6351056e5c7b9f3ff60562cb5af.txt

14 0.771484375 0.658203125 0.3056640625 0.677734375
14 0.8388671875 0.3935546875 0.1103515625 0.26953125
14 0.6650390625 0.3837890625 0.154296875 0.2509765625
14 0.1650390625 0.5908203125 0.25390625 0.6376953125
14 0.259765625 0.458984375 0.15234375 0.3095703125
14 0.3564453125 0.4296875 0.171875 0.29296875
8 0.3330078125 0.873046875 0.322265625 0.248046875
8 0.822265625 0.7880859375 0.2919921875 0.4189453125
8 0.0263671875 0.71484375 0.0517578125 0.3095703125
4 0.5830078125 0.57421875 0.0380859375 0.189453125
4 0.41796875 0.4892578125 0.0322265625 0.1142578125
10 0.4130859375 0.73046875 0.5576171875 0.533203125
feat(datasets): 添加新的训练和验证标签文件 - 在 train 和 valid 文件夹下添加了多个新的标签文件 - 标签文件包含不同类别的对象标注信息- 新增的标签文件将有助于模型训练和评估 2025-06-03 15:13:32 +00:00			`14 0.771484375 0.658203125 0.3056640625 0.677734375`
			`14 0.8388671875 0.3935546875 0.1103515625 0.26953125`
			`14 0.6650390625 0.3837890625 0.154296875 0.2509765625`
			`14 0.1650390625 0.5908203125 0.25390625 0.6376953125`
			`14 0.259765625 0.458984375 0.15234375 0.3095703125`
			`14 0.3564453125 0.4296875 0.171875 0.29296875`
			`8 0.3330078125 0.873046875 0.322265625 0.248046875`
			`8 0.822265625 0.7880859375 0.2919921875 0.4189453125`
			`8 0.0263671875 0.71484375 0.0517578125 0.3095703125`
			`4 0.5830078125 0.57421875 0.0380859375 0.189453125`
			`4 0.41796875 0.4892578125 0.0322265625 0.1142578125`
			`10 0.4130859375 0.73046875 0.5576171875 0.533203125`