Yolo-12-everything/datasets/train/labels/2011_001370_jpg.rf.e08ff7cc8af8ce13c556eca1a485381f.txt

8 0.80859375 0.6845703125 0.306640625 0.248046875
8 0.205078125 0.740234375 0.228515625 0.400390625
19 0.8203125 0.40625 0.19140625 0.201171875
14 0.064453125 0.63671875 0.12890625 0.4609375
14 0.1875 0.4580078125 0.1328125 0.326171875
14 0.3076171875 0.5751953125 0.091796875 0.470703125
14 0.3779296875 0.4609375 0.125 0.322265625
14 0.44140625 0.6728515625 0.20703125 0.517578125
14 0.6083984375 0.458984375 0.173828125 0.349609375
14 0.62890625 0.7255859375 0.23828125 0.548828125
14 0.76171875 0.50390625 0.181640625 0.408203125
14 0.9384765625 0.427734375 0.123046875 0.31640625
14 0.9638671875 0.59765625 0.072265625 0.4296875
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			`8 0.80859375 0.6845703125 0.306640625 0.248046875`
			`8 0.205078125 0.740234375 0.228515625 0.400390625`
			`19 0.8203125 0.40625 0.19140625 0.201171875`
			`14 0.064453125 0.63671875 0.12890625 0.4609375`
			`14 0.1875 0.4580078125 0.1328125 0.326171875`
			`14 0.3076171875 0.5751953125 0.091796875 0.470703125`
			`14 0.3779296875 0.4609375 0.125 0.322265625`
			`14 0.44140625 0.6728515625 0.20703125 0.517578125`
			`14 0.6083984375 0.458984375 0.173828125 0.349609375`
			`14 0.62890625 0.7255859375 0.23828125 0.548828125`
			`14 0.76171875 0.50390625 0.181640625 0.408203125`
			`14 0.9384765625 0.427734375 0.123046875 0.31640625`
			`14 0.9638671875 0.59765625 0.072265625 0.4296875`