Yolo-12-everything/datasets/valid/labels/2008_004321_jpg.rf.d11157ecca74d069b6f9a63695288446.txt

14 0.5341796875 0.611328125 0.2236328125 0.4169921875
14 0.7470703125 0.689453125 0.25 0.5615234375
14 0.900390625 0.8544921875 0.1962890625 0.28515625
14 0.302734375 0.732421875 0.1416015625 0.5283203125
14 0.12109375 0.7373046875 0.2421875 0.51953125
10 0.5478515625 0.865234375 0.5595703125 0.2646484375
8 0.8154296875 0.787109375 0.2421875 0.4208984375
19 0.927734375 0.6259765625 0.1396484375 0.2548828125
17 0.37109375 0.759765625 0.501953125 0.474609375
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 0.5341796875 0.611328125 0.2236328125 0.4169921875`
			`14 0.7470703125 0.689453125 0.25 0.5615234375`
			`14 0.900390625 0.8544921875 0.1962890625 0.28515625`
			`14 0.302734375 0.732421875 0.1416015625 0.5283203125`
			`14 0.12109375 0.7373046875 0.2421875 0.51953125`
			`10 0.5478515625 0.865234375 0.5595703125 0.2646484375`
			`8 0.8154296875 0.787109375 0.2421875 0.4208984375`
			`19 0.927734375 0.6259765625 0.1396484375 0.2548828125`
			`17 0.37109375 0.759765625 0.501953125 0.474609375`