Yolo-12-everything/datasets/valid/labels/2010_003597_jpg.rf.51911f043119e7d29f19fd7e93efb7b5.txt

10 0.37109375 0.7919921875 0.5419921875 0.4111328125
10 0.9453125 0.677734375 0.1064453125 0.2880859375
17 0.44140625 0.7373046875 0.8818359375 0.51953125
17 0.85546875 0.7255859375 0.2861328125 0.5439453125
4 0.3798828125 0.6943359375 0.0400390625 0.15234375
14 0.322265625 0.490234375 0.15625 0.2451171875
14 0.6630859375 0.619140625 0.162109375 0.4375
14 0.625 0.50390625 0.25 0.3515625
14 0.451171875 0.4921875 0.1220703125 0.2587890625
15 0.0869140625 0.3115234375 0.173828125 0.4208984375
14 0.244140625 0.3203125 0.083984375 0.1435546875
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			`10 0.37109375 0.7919921875 0.5419921875 0.4111328125`
			`10 0.9453125 0.677734375 0.1064453125 0.2880859375`
			`17 0.44140625 0.7373046875 0.8818359375 0.51953125`
			`17 0.85546875 0.7255859375 0.2861328125 0.5439453125`
			`4 0.3798828125 0.6943359375 0.0400390625 0.15234375`
			`14 0.322265625 0.490234375 0.15625 0.2451171875`
			`14 0.6630859375 0.619140625 0.162109375 0.4375`
			`14 0.625 0.50390625 0.25 0.3515625`
			`14 0.451171875 0.4921875 0.1220703125 0.2587890625`
			`15 0.0869140625 0.3115234375 0.173828125 0.4208984375`
			`14 0.244140625 0.3203125 0.083984375 0.1435546875`