Yolo-12-everything/datasets/valid/labels/2008_004054_jpg.rf.338ba515770eec2cad0e9b9c81719bd4.txt

14 0.6435546875 0.3310546875 0.1396484375 0.619140625
14 0.3779296875 0.701171875 0.2841796875 0.5703125
14 0.31640625 0.83203125 0.251953125 0.3310546875
14 0.552734375 0.8134765625 0.330078125 0.3681640625
14 0.6845703125 0.66015625 0.4296875 0.2001953125
14 0.845703125 0.8349609375 0.3037109375 0.3251953125
17 0.92578125 0.6123046875 0.1435546875 0.1943359375
17 0.126953125 0.7998046875 0.25390625 0.39453125
17 0.62890625 0.7373046875 0.3857421875 0.28515625
8 0.9697265625 0.6337890625 0.0556640625 0.2265625
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 0.6435546875 0.3310546875 0.1396484375 0.619140625`
			`14 0.3779296875 0.701171875 0.2841796875 0.5703125`
			`14 0.31640625 0.83203125 0.251953125 0.3310546875`
			`14 0.552734375 0.8134765625 0.330078125 0.3681640625`
			`14 0.6845703125 0.66015625 0.4296875 0.2001953125`
			`14 0.845703125 0.8349609375 0.3037109375 0.3251953125`
			`17 0.92578125 0.6123046875 0.1435546875 0.1943359375`
			`17 0.126953125 0.7998046875 0.25390625 0.39453125`
			`17 0.62890625 0.7373046875 0.3857421875 0.28515625`
			`8 0.9697265625 0.6337890625 0.0556640625 0.2265625`