Yolo-12-everything/datasets/train/labels/2008_005599_jpg.rf.914ce109116b038a624a6cdc9238ceb6.txt

1 0.1572265625 0.5986328125 0.150390625 0.3916015625
1 0.68359375 0.763671875 0.6279296875 0.466796875
1 0.373046875 0.70703125 0.4462890625 0.453125
14 0.9453125 0.626953125 0.1064453125 0.708984375
14 0.697265625 0.6171875 0.322265625 0.759765625
14 0.625 0.697265625 0.1943359375 0.4990234375
14 0.8037109375 0.3984375 0.091796875 0.322265625
14 0.5224609375 0.361328125 0.01953125 0.0830078125
14 0.5078125 0.365234375 0.01171875 0.07421875
14 0.404296875 0.5732421875 0.2119140625 0.7578125
14 0.2333984375 0.5068359375 0.1181640625 0.5654296875
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			`1 0.1572265625 0.5986328125 0.150390625 0.3916015625`
			`1 0.68359375 0.763671875 0.6279296875 0.466796875`
			`1 0.373046875 0.70703125 0.4462890625 0.453125`
			`14 0.9453125 0.626953125 0.1064453125 0.708984375`
			`14 0.697265625 0.6171875 0.322265625 0.759765625`
			`14 0.625 0.697265625 0.1943359375 0.4990234375`
			`14 0.8037109375 0.3984375 0.091796875 0.322265625`
			`14 0.5224609375 0.361328125 0.01953125 0.0830078125`
			`14 0.5078125 0.365234375 0.01171875 0.07421875`
			`14 0.404296875 0.5732421875 0.2119140625 0.7578125`
			`14 0.2333984375 0.5068359375 0.1181640625 0.5654296875`