Yolo-12-everything/datasets/train/labels/2011_002949_jpg.rf.55c96bb5113005694a7b554736df7130.txt

13 0.5888671875 0.916015625 0.5263671875 0.1630859375
13 0.8291015625 0.84375 0.326171875 0.2216796875
13 0.1494140625 0.8720703125 0.2978515625 0.2451171875
14 0.0224609375 0.7666015625 0.0439453125 0.328125
14 0.1201171875 0.7841796875 0.103515625 0.3359375
14 0.060546875 0.77734375 0.0703125 0.322265625
14 0.45703125 0.7626953125 0.2060546875 0.298828125
14 0.515625 0.8134765625 0.1279296875 0.3681640625
14 0.607421875 0.8115234375 0.2138671875 0.37109375
14 0.759765625 0.7626953125 0.1123046875 0.2822265625
14 0.8330078125 0.7578125 0.1298828125 0.3310546875
14 0.2001953125 0.708984375 0.0517578125 0.181640625
13 0.634765625 0.7626953125 0.1220703125 0.0849609375
14 0.2607421875 0.701171875 0.0380859375 0.1494140625
14 0.2958984375 0.73046875 0.0322265625 0.080078125
14 0.3408203125 0.701171875 0.0341796875 0.1064453125
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 0.5888671875 0.916015625 0.5263671875 0.1630859375`
			`13 0.8291015625 0.84375 0.326171875 0.2216796875`
			`13 0.1494140625 0.8720703125 0.2978515625 0.2451171875`
			`14 0.0224609375 0.7666015625 0.0439453125 0.328125`
			`14 0.1201171875 0.7841796875 0.103515625 0.3359375`
			`14 0.060546875 0.77734375 0.0703125 0.322265625`
			`14 0.45703125 0.7626953125 0.2060546875 0.298828125`
			`14 0.515625 0.8134765625 0.1279296875 0.3681640625`
			`14 0.607421875 0.8115234375 0.2138671875 0.37109375`
			`14 0.759765625 0.7626953125 0.1123046875 0.2822265625`
			`14 0.8330078125 0.7578125 0.1298828125 0.3310546875`
			`14 0.2001953125 0.708984375 0.0517578125 0.181640625`
			`13 0.634765625 0.7626953125 0.1220703125 0.0849609375`
			`14 0.2607421875 0.701171875 0.0380859375 0.1494140625`
			`14 0.2958984375 0.73046875 0.0322265625 0.080078125`
			`14 0.3408203125 0.701171875 0.0341796875 0.1064453125`