Yolo-12-everything/datasets/valid/labels/2008_000776_jpg.rf.58543b2703ff82320edc09332380c1f0.txt

14 0.3671875 0.6025390625 0.4541015625 0.7900390625
14 0.8173828125 0.3134765625 0.06640625 0.2734375
14 0.6982421875 0.31640625 0.0361328125 0.1533203125
14 0.6533203125 0.31640625 0.0302734375 0.1416015625
14 0.630859375 0.3154296875 0.0302734375 0.1376953125
14 0.71875 0.3154296875 0.017578125 0.1083984375
14 0.5986328125 0.3349609375 0.0263671875 0.1650390625
14 0.57421875 0.345703125 0.0322265625 0.162109375
14 0.7822265625 0.3076171875 0.0244140625 0.1591796875
14 0.76953125 0.30078125 0.0244140625 0.14453125
14 0.7431640625 0.296875 0.0224609375 0.1259765625
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 0.3671875 0.6025390625 0.4541015625 0.7900390625`
			`14 0.8173828125 0.3134765625 0.06640625 0.2734375`
			`14 0.6982421875 0.31640625 0.0361328125 0.1533203125`
			`14 0.6533203125 0.31640625 0.0302734375 0.1416015625`
			`14 0.630859375 0.3154296875 0.0302734375 0.1376953125`
			`14 0.71875 0.3154296875 0.017578125 0.1083984375`
			`14 0.5986328125 0.3349609375 0.0263671875 0.1650390625`
			`14 0.57421875 0.345703125 0.0322265625 0.162109375`
			`14 0.7822265625 0.3076171875 0.0244140625 0.1591796875`
			`14 0.76953125 0.30078125 0.0244140625 0.14453125`
			`14 0.7431640625 0.296875 0.0224609375 0.1259765625`