Yolo-12-everything/datasets/train/labels/2008_005214_jpg.rf.1013fc27200ca4038ba73b52ff3b0010.txt

15 0.0419921875 0.79296875 0.083984375 0.2822265625
15 0.1669921875 0.8662109375 0.078125 0.12890625
15 0.255859375 0.8740234375 0.064453125 0.1142578125
15 0.337890625 0.884765625 0.064453125 0.0869140625
15 0.4111328125 0.884765625 0.0537109375 0.0869140625
15 0.5029296875 0.8876953125 0.06640625 0.0810546875
15 0.5986328125 0.869140625 0.06640625 0.1171875
15 0.7841796875 0.8515625 0.072265625 0.1533203125
15 0.8447265625 0.8828125 0.08203125 0.095703125
15 0.9248046875 0.8828125 0.0498046875 0.083984375
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			`15 0.0419921875 0.79296875 0.083984375 0.2822265625`
			`15 0.1669921875 0.8662109375 0.078125 0.12890625`
			`15 0.255859375 0.8740234375 0.064453125 0.1142578125`
			`15 0.337890625 0.884765625 0.064453125 0.0869140625`
			`15 0.4111328125 0.884765625 0.0537109375 0.0869140625`
			`15 0.5029296875 0.8876953125 0.06640625 0.0810546875`
			`15 0.5986328125 0.869140625 0.06640625 0.1171875`
			`15 0.7841796875 0.8515625 0.072265625 0.1533203125`
			`15 0.8447265625 0.8828125 0.08203125 0.095703125`
			`15 0.9248046875 0.8828125 0.0498046875 0.083984375`