Yolo-12-everything/datasets/train/labels/2010_005654_jpg.rf.430d4172d9d44ab8bca542cff1d4d6fa.txt

10 0.4501953125 0.8173828125 0.353515625 0.365234375
8 0.369140625 0.8564453125 0.24609375 0.287109375
8 0.787109375 0.830078125 0.125 0.3125
4 0.490234375 0.654296875 0.02734375 0.072265625
14 0.6728515625 0.6591796875 0.193359375 0.669921875
14 0.78515625 0.642578125 0.1640625 0.6953125
14 0.541015625 0.65625 0.251953125 0.634765625
14 0.3828125 0.75390625 0.19921875 0.4921875
14 0.24609375 0.6376953125 0.1953125 0.724609375
14 0.251953125 0.44921875 0.126953125 0.1796875
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 0.4501953125 0.8173828125 0.353515625 0.365234375`
			`8 0.369140625 0.8564453125 0.24609375 0.287109375`
			`8 0.787109375 0.830078125 0.125 0.3125`
			`4 0.490234375 0.654296875 0.02734375 0.072265625`
			`14 0.6728515625 0.6591796875 0.193359375 0.669921875`
			`14 0.78515625 0.642578125 0.1640625 0.6953125`
			`14 0.541015625 0.65625 0.251953125 0.634765625`
			`14 0.3828125 0.75390625 0.19921875 0.4921875`
			`14 0.24609375 0.6376953125 0.1953125 0.724609375`
			`14 0.251953125 0.44921875 0.126953125 0.1796875`