Yolo-12-everything/datasets/train/labels/2008_002123_jpg.rf.a5e1b88a953e4c67c30485f83c0325f4.txt

13 0.9423828125 0.3984375 0.115234375 0.33203125
13 0.7900390625 0.419921875 0.123046875 0.326171875
13 0.6171875 0.5869140625 0.32421875 0.419921875
13 0.162109375 0.671875 0.32421875 0.578125
14 0.1318359375 0.3359375 0.14453125 0.21875
14 0.392578125 0.537109375 0.244140625 0.6875
14 0.3505859375 0.5 0.1796875 0.56640625
14 0.458984375 0.3544921875 0.087890625 0.23828125
14 0.66015625 0.4970703125 0.1796875 0.634765625
14 0.857421875 0.4404296875 0.17578125 0.62890625
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 0.9423828125 0.3984375 0.115234375 0.33203125`
			`13 0.7900390625 0.419921875 0.123046875 0.326171875`
			`13 0.6171875 0.5869140625 0.32421875 0.419921875`
			`13 0.162109375 0.671875 0.32421875 0.578125`
			`14 0.1318359375 0.3359375 0.14453125 0.21875`
			`14 0.392578125 0.537109375 0.244140625 0.6875`
			`14 0.3505859375 0.5 0.1796875 0.56640625`
			`14 0.458984375 0.3544921875 0.087890625 0.23828125`
			`14 0.66015625 0.4970703125 0.1796875 0.634765625`
			`14 0.857421875 0.4404296875 0.17578125 0.62890625`