Yolo-12-everything/datasets/train/labels/2008_004084_jpg.rf.8525b15cbadbb88a2452e9c29d4eea93.txt

13 0.95703125 0.59375 0.0859375 0.20703125
13 0.171875 0.685546875 0.193359375 0.3828125
13 0.0556640625 0.783203125 0.080078125 0.25390625
13 0.341796875 0.783203125 0.3984375 0.43359375
13 0.732421875 0.7509765625 0.53515625 0.494140625
14 0.056640625 0.6982421875 0.11328125 0.603515625
14 0.0517578125 0.5732421875 0.08984375 0.287109375
14 0.6533203125 0.447265625 0.056640625 0.1328125
14 0.67578125 0.447265625 0.03515625 0.091796875
14 0.3251953125 0.6875 0.361328125 0.625
14 0.751953125 0.6875 0.24609375 0.591796875
14 0.5634765625 0.57421875 0.15625 0.328125
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			`13 0.95703125 0.59375 0.0859375 0.20703125`
			`13 0.171875 0.685546875 0.193359375 0.3828125`
			`13 0.0556640625 0.783203125 0.080078125 0.25390625`
			`13 0.341796875 0.783203125 0.3984375 0.43359375`
			`13 0.732421875 0.7509765625 0.53515625 0.494140625`
			`14 0.056640625 0.6982421875 0.11328125 0.603515625`
			`14 0.0517578125 0.5732421875 0.08984375 0.287109375`
			`14 0.6533203125 0.447265625 0.056640625 0.1328125`
			`14 0.67578125 0.447265625 0.03515625 0.091796875`
			`14 0.3251953125 0.6875 0.361328125 0.625`
			`14 0.751953125 0.6875 0.24609375 0.591796875`
			`14 0.5634765625 0.57421875 0.15625 0.328125`