Yolo-12-everything/datasets/train/labels/2008_003796_jpg.rf.e3ae9dd8a9c8d0a2f56cf4458dd83cfd.txt

14 0.755859375 0.6650390625 0.36328125 0.669921875
14 0.8466796875 0.423828125 0.1328125 0.27734375
14 0.6748046875 0.3984375 0.17578125 0.263671875
14 0.158203125 0.5615234375 0.30859375 0.658203125
14 0.2646484375 0.4384765625 0.1796875 0.322265625
14 0.36328125 0.4169921875 0.197265625 0.306640625
8 0.30078125 0.857421875 0.341796875 0.275390625
8 0.794921875 0.796875 0.328125 0.40625
8 0.0244140625 0.671875 0.048828125 0.3125
4 0.576171875 0.5810546875 0.0546875 0.19140625
4 0.4189453125 0.482421875 0.04296875 0.1171875
10 0.392578125 0.7158203125 0.6015625 0.568359375
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			`14 0.755859375 0.6650390625 0.36328125 0.669921875`
			`14 0.8466796875 0.423828125 0.1328125 0.27734375`
			`14 0.6748046875 0.3984375 0.17578125 0.263671875`
			`14 0.158203125 0.5615234375 0.30859375 0.658203125`
			`14 0.2646484375 0.4384765625 0.1796875 0.322265625`
			`14 0.36328125 0.4169921875 0.197265625 0.306640625`
			`8 0.30078125 0.857421875 0.341796875 0.275390625`
			`8 0.794921875 0.796875 0.328125 0.40625`
			`8 0.0244140625 0.671875 0.048828125 0.3125`
			`4 0.576171875 0.5810546875 0.0546875 0.19140625`
			`4 0.4189453125 0.482421875 0.04296875 0.1171875`
			`10 0.392578125 0.7158203125 0.6015625 0.568359375`