Yolo-12-everything/datasets/valid/labels/2008_004948_jpg.rf.49f327ba657d1658f4224992ff4c736f.txt

4 0.55078125 0.6884765625 0.0419921875 0.181640625
4 0.3310546875 0.736328125 0.0615234375 0.234375
4 0.0576171875 0.90234375 0.064453125 0.189453125
4 0.2333984375 0.94921875 0.0458984375 0.095703125
4 0.3330078125 0.6064453125 0.0419921875 0.15234375
14 0.3076171875 0.490234375 0.251953125 0.3681640625
14 0.5966796875 0.5029296875 0.2021484375 0.365234375
10 0.365234375 0.794921875 0.73046875 0.4052734375
14 0.775390625 0.7001953125 0.41015625 0.5947265625
8 0.9326171875 0.646484375 0.1142578125 0.232421875
14 0.7841796875 0.87890625 0.427734375 0.2373046875
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 0.55078125 0.6884765625 0.0419921875 0.181640625`
			`4 0.3310546875 0.736328125 0.0615234375 0.234375`
			`4 0.0576171875 0.90234375 0.064453125 0.189453125`
			`4 0.2333984375 0.94921875 0.0458984375 0.095703125`
			`4 0.3330078125 0.6064453125 0.0419921875 0.15234375`
			`14 0.3076171875 0.490234375 0.251953125 0.3681640625`
			`14 0.5966796875 0.5029296875 0.2021484375 0.365234375`
			`10 0.365234375 0.794921875 0.73046875 0.4052734375`
			`14 0.775390625 0.7001953125 0.41015625 0.5947265625`
			`8 0.9326171875 0.646484375 0.1142578125 0.232421875`
			`14 0.7841796875 0.87890625 0.427734375 0.2373046875`