Yolo-12-everything/datasets/train/labels/2011_000932_jpg.rf.1a66c29b101f94f46a82be7f11c022c9.txt

8 0.1494140625 0.8056640625 0.24609375 0.3828125
8 0.15625 0.6630859375 0.20703125 0.306640625
10 0.0712890625 0.787109375 0.13671875 0.421875
10 0.83203125 0.8828125 0.3359375 0.23046875
14 0.775390625 0.4599609375 0.181640625 0.66796875
14 0.6181640625 0.5537109375 0.16015625 0.88671875
14 0.51953125 0.6171875 0.203125 0.759765625
14 0.462890625 0.37890625 0.1171875 0.458984375
14 0.4072265625 0.390625 0.09375 0.423828125
14 0.3349609375 0.5810546875 0.1953125 0.767578125
14 0.0888671875 0.322265625 0.173828125 0.51171875
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			`8 0.1494140625 0.8056640625 0.24609375 0.3828125`
			`8 0.15625 0.6630859375 0.20703125 0.306640625`
			`10 0.0712890625 0.787109375 0.13671875 0.421875`
			`10 0.83203125 0.8828125 0.3359375 0.23046875`
			`14 0.775390625 0.4599609375 0.181640625 0.66796875`
			`14 0.6181640625 0.5537109375 0.16015625 0.88671875`
			`14 0.51953125 0.6171875 0.203125 0.759765625`
			`14 0.462890625 0.37890625 0.1171875 0.458984375`
			`14 0.4072265625 0.390625 0.09375 0.423828125`
			`14 0.3349609375 0.5810546875 0.1953125 0.767578125`
			`14 0.0888671875 0.322265625 0.173828125 0.51171875`