Yolo-12-everything/datasets/train/labels/2009_001590_jpg.rf.d093d97faf5706b1bd054d3f84891086.txt

5 0.46875 0.5048828125 0.76953125 0.4453125
14 0.919921875 0.5732421875 0.0595703125 0.181640625
14 0.8857421875 0.5771484375 0.064453125 0.16796875
14 0.7392578125 0.4892578125 0.0302734375 0.087890625
14 0.662109375 0.5068359375 0.083984375 0.0908203125
14 0.8623046875 0.5146484375 0.0283203125 0.0478515625
14 0.072265625 0.5576171875 0.01171875 0.0537109375
14 0.3173828125 0.482421875 0.0380859375 0.095703125
14 0.4921875 0.509765625 0.0517578125 0.080078125
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			`5 0.46875 0.5048828125 0.76953125 0.4453125`
			`14 0.919921875 0.5732421875 0.0595703125 0.181640625`
			`14 0.8857421875 0.5771484375 0.064453125 0.16796875`
			`14 0.7392578125 0.4892578125 0.0302734375 0.087890625`
			`14 0.662109375 0.5068359375 0.083984375 0.0908203125`
			`14 0.8623046875 0.5146484375 0.0283203125 0.0478515625`
			`14 0.072265625 0.5576171875 0.01171875 0.0537109375`
			`14 0.3173828125 0.482421875 0.0380859375 0.095703125`
			`14 0.4921875 0.509765625 0.0517578125 0.080078125`