Yolo-12-everything/datasets/train/labels/2010_004741_jpg.rf.4a360c7bd3a8d2d92a3c9e91c36f0598.txt

17 0.4228515625 0.427734375 0.4697265625 0.3544921875
14 0.7255859375 0.68359375 0.2158203125 0.5625
14 0.6640625 0.49609375 0.1201171875 0.3359375
14 0.4423828125 0.4814453125 0.1640625 0.37109375
14 0.2822265625 0.6083984375 0.2275390625 0.4638671875
4 0.4150390625 0.7216796875 0.0380859375 0.103515625
10 0.4912109375 0.7578125 0.3896484375 0.3095703125
10 0.3212890625 0.904296875 0.5458984375 0.1865234375
4 0.140625 0.76953125 0.0263671875 0.1142578125
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			`17 0.4228515625 0.427734375 0.4697265625 0.3544921875`
			`14 0.7255859375 0.68359375 0.2158203125 0.5625`
			`14 0.6640625 0.49609375 0.1201171875 0.3359375`
			`14 0.4423828125 0.4814453125 0.1640625 0.37109375`
			`14 0.2822265625 0.6083984375 0.2275390625 0.4638671875`
			`4 0.4150390625 0.7216796875 0.0380859375 0.103515625`
			`10 0.4912109375 0.7578125 0.3896484375 0.3095703125`
			`10 0.3212890625 0.904296875 0.5458984375 0.1865234375`
			`4 0.140625 0.76953125 0.0263671875 0.1142578125`