Yolo-12-everything/datasets/valid/labels/2011_000823_jpg.rf.52f13a10c1ff09f37c1165196f91fb7d.txt

4 0.435546875 0.5810546875 0.0322265625 0.1435546875
4 0.341796875 0.9375 0.0478515625 0.1201171875
8 0.6279296875 0.9267578125 0.33203125 0.1416015625
8 0.794921875 0.8271484375 0.234375 0.3359375
8 0.1826171875 0.732421875 0.1376953125 0.4130859375
10 0.4853515625 0.78515625 0.333984375 0.423828125
14 0.693359375 0.7177734375 0.2939453125 0.5595703125
14 0.7490234375 0.5908203125 0.2255859375 0.3603515625
14 0.482421875 0.591796875 0.1796875 0.5498046875
14 0.2861328125 0.6484375 0.2197265625 0.59765625
15 0.15625 0.5732421875 0.2158203125 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			`4 0.435546875 0.5810546875 0.0322265625 0.1435546875`
			`4 0.341796875 0.9375 0.0478515625 0.1201171875`
			`8 0.6279296875 0.9267578125 0.33203125 0.1416015625`
			`8 0.794921875 0.8271484375 0.234375 0.3359375`
			`8 0.1826171875 0.732421875 0.1376953125 0.4130859375`
			`10 0.4853515625 0.78515625 0.333984375 0.423828125`
			`14 0.693359375 0.7177734375 0.2939453125 0.5595703125`
			`14 0.7490234375 0.5908203125 0.2255859375 0.3603515625`
			`14 0.482421875 0.591796875 0.1796875 0.5498046875`
			`14 0.2861328125 0.6484375 0.2197265625 0.59765625`
			`15 0.15625 0.5732421875 0.2158203125 0.5654296875`