Yolo-12-everything/datasets/train/labels/2008_006969_jpg.rf.655e0f3165dd32d1c43e272e761e879a.txt

10 0.5634765625 0.7421875 0.818359375 0.5107421875
14 0.4384765625 0.6904296875 0.3603515625 0.6123046875
14 0.212890625 0.662109375 0.1943359375 0.669921875
14 0.1083984375 0.6064453125 0.2041015625 0.642578125
14 0.248046875 0.388671875 0.2041015625 0.291015625
14 0.341796875 0.3740234375 0.1123046875 0.2734375
14 0.4970703125 0.40234375 0.1943359375 0.3544921875
14 0.771484375 0.5048828125 0.2578125 0.4208984375
14 0.888671875 0.6767578125 0.2177734375 0.6396484375
4 0.759765625 0.689453125 0.0517578125 0.2548828125
4 0.51953125 0.537109375 0.0439453125 0.1865234375
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 0.5634765625 0.7421875 0.818359375 0.5107421875`
			`14 0.4384765625 0.6904296875 0.3603515625 0.6123046875`
			`14 0.212890625 0.662109375 0.1943359375 0.669921875`
			`14 0.1083984375 0.6064453125 0.2041015625 0.642578125`
			`14 0.248046875 0.388671875 0.2041015625 0.291015625`
			`14 0.341796875 0.3740234375 0.1123046875 0.2734375`
			`14 0.4970703125 0.40234375 0.1943359375 0.3544921875`
			`14 0.771484375 0.5048828125 0.2578125 0.4208984375`
			`14 0.888671875 0.6767578125 0.2177734375 0.6396484375`
			`4 0.759765625 0.689453125 0.0517578125 0.2548828125`
			`4 0.51953125 0.537109375 0.0439453125 0.1865234375`