Yolo-12-everything/datasets/train/labels/2008_003329_jpg.rf.7c1eb4d861470083d0243e78a6bb9b4b.txt

14 0.8828125 0.6796875 0.23046875 0.634765625
14 0.6591796875 0.619140625 0.3017578125 0.7578125
14 0.5029296875 0.5029296875 0.1064453125 0.3544921875
14 0.341796875 0.431640625 0.072265625 0.2509765625
14 0.3408203125 0.3134765625 0.0263671875 0.0556640625
1 0.662109375 0.8984375 0.3798828125 0.197265625
1 0.921875 0.8916015625 0.15234375 0.2109375
1 0.50390625 0.6142578125 0.095703125 0.2587890625
1 0.3369140625 0.4931640625 0.06640625 0.1650390625
6 0.845703125 0.4697265625 0.3037109375 0.2236328125
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 0.8828125 0.6796875 0.23046875 0.634765625`
			`14 0.6591796875 0.619140625 0.3017578125 0.7578125`
			`14 0.5029296875 0.5029296875 0.1064453125 0.3544921875`
			`14 0.341796875 0.431640625 0.072265625 0.2509765625`
			`14 0.3408203125 0.3134765625 0.0263671875 0.0556640625`
			`1 0.662109375 0.8984375 0.3798828125 0.197265625`
			`1 0.921875 0.8916015625 0.15234375 0.2109375`
			`1 0.50390625 0.6142578125 0.095703125 0.2587890625`
			`1 0.3369140625 0.4931640625 0.06640625 0.1650390625`
			`6 0.845703125 0.4697265625 0.3037109375 0.2236328125`