Yolo-12-everything/datasets/train/labels/2010_004844_jpg.rf.5bae897ad4fb7a5008b22623fae84a96.txt

14 0.3740234375 0.8984375 0.064453125 0.17578125
5 0.7841796875 0.81640625 0.427734375 0.3095703125
13 0.265625 0.9267578125 0.17578125 0.125
6 0.4619140625 0.8974609375 0.2041015625 0.109375
14 0.0634765625 0.8583984375 0.0341796875 0.0908203125
14 0.26953125 0.900390625 0.0595703125 0.1572265625
14 0.310546875 0.8896484375 0.0703125 0.15234375
14 0.3759765625 0.90234375 0.064453125 0.1630859375
13 0.39453125 0.9267578125 0.06640625 0.087890625
14 0.3984375 0.849609375 0.0244140625 0.0615234375
15 0.740234375 0.5888671875 0.015625 0.0263671875
14 0.912109375 0.4091796875 0.0322265625 0.029296875
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 0.3740234375 0.8984375 0.064453125 0.17578125`
			`5 0.7841796875 0.81640625 0.427734375 0.3095703125`
			`13 0.265625 0.9267578125 0.17578125 0.125`
			`6 0.4619140625 0.8974609375 0.2041015625 0.109375`
			`14 0.0634765625 0.8583984375 0.0341796875 0.0908203125`
			`14 0.26953125 0.900390625 0.0595703125 0.1572265625`
			`14 0.310546875 0.8896484375 0.0703125 0.15234375`
			`14 0.3759765625 0.90234375 0.064453125 0.1630859375`
			`13 0.39453125 0.9267578125 0.06640625 0.087890625`
			`14 0.3984375 0.849609375 0.0244140625 0.0615234375`
			`15 0.740234375 0.5888671875 0.015625 0.0263671875`
			`14 0.912109375 0.4091796875 0.0322265625 0.029296875`