Yolo-12-everything/datasets/valid/labels/2011_002966_jpg.rf.6c926a3f47507e5db278a53a5a3c5eb7.txt

4 0.787109375 0.8505859375 0.1103515625 0.29296875
4 0.708984375 0.744140625 0.07421875 0.373046875
4 0.4970703125 0.6025390625 0.0419921875 0.181640625
19 0.23828125 0.1240234375 0.3515625 0.248046875
14 0.1748046875 0.6171875 0.349609375 0.759765625
14 0.2978515625 0.6318359375 0.33203125 0.73046875
14 0.3828125 0.4150390625 0.1337890625 0.3115234375
14 0.4638671875 0.4501953125 0.248046875 0.4638671875
14 0.6376953125 0.5361328125 0.34375 0.4638671875
14 0.771484375 0.44140625 0.1337890625 0.2421875
14 0.89453125 0.62109375 0.2060546875 0.5439453125
10 0.6748046875 0.8251953125 0.646484375 0.34375
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			`4 0.787109375 0.8505859375 0.1103515625 0.29296875`
			`4 0.708984375 0.744140625 0.07421875 0.373046875`
			`4 0.4970703125 0.6025390625 0.0419921875 0.181640625`
			`19 0.23828125 0.1240234375 0.3515625 0.248046875`
			`14 0.1748046875 0.6171875 0.349609375 0.759765625`
			`14 0.2978515625 0.6318359375 0.33203125 0.73046875`
			`14 0.3828125 0.4150390625 0.1337890625 0.3115234375`
			`14 0.4638671875 0.4501953125 0.248046875 0.4638671875`
			`14 0.6376953125 0.5361328125 0.34375 0.4638671875`
			`14 0.771484375 0.44140625 0.1337890625 0.2421875`
			`14 0.89453125 0.62109375 0.2060546875 0.5439453125`
			`10 0.6748046875 0.8251953125 0.646484375 0.34375`