Yolo-12-everything/datasets/train/labels/2010_005967_jpg.rf.26d5261a4fbd4c6850911544f5e03b2a.txt

8 0.6689453125 0.7822265625 0.43359375 0.4296875
4 0.9423828125 0.962890625 0.0556640625 0.0693359375
14 0.19140625 0.6884765625 0.3818359375 0.619140625
14 0.1728515625 0.5615234375 0.341796875 0.8662109375
14 0.3662109375 0.5908203125 0.1318359375 0.744140625
14 0.4560546875 0.60546875 0.103515625 0.4208984375
14 0.537109375 0.6689453125 0.2421875 0.65625
14 0.595703125 0.828125 0.2275390625 0.3388671875
14 0.7265625 0.537109375 0.177734375 0.5888671875
14 0.8623046875 0.5791015625 0.1923828125 0.693359375
14 0.537109375 0.3583984375 0.1064453125 0.306640625
14 0.330078125 0.28515625 0.064453125 0.1923828125
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			`8 0.6689453125 0.7822265625 0.43359375 0.4296875`
			`4 0.9423828125 0.962890625 0.0556640625 0.0693359375`
			`14 0.19140625 0.6884765625 0.3818359375 0.619140625`
			`14 0.1728515625 0.5615234375 0.341796875 0.8662109375`
			`14 0.3662109375 0.5908203125 0.1318359375 0.744140625`
			`14 0.4560546875 0.60546875 0.103515625 0.4208984375`
			`14 0.537109375 0.6689453125 0.2421875 0.65625`
			`14 0.595703125 0.828125 0.2275390625 0.3388671875`
			`14 0.7265625 0.537109375 0.177734375 0.5888671875`
			`14 0.8623046875 0.5791015625 0.1923828125 0.693359375`
			`14 0.537109375 0.3583984375 0.1064453125 0.306640625`
			`14 0.330078125 0.28515625 0.064453125 0.1923828125`