Yolo-12-everything/datasets/train/labels/2008_008388_jpg.rf.30ac5fbf9fe1fa4b1ae4bbde86afdedd.txt

10 0.5537109375 0.80859375 0.892578125 0.3828125
14 0.365234375 0.53515625 0.271484375 0.33984375
14 0.16796875 0.6923828125 0.3359375 0.615234375
14 0.236328125 0.318359375 0.236328125 0.439453125
14 0.9150390625 0.390625 0.162109375 0.5703125
14 0.60546875 0.7626953125 0.53515625 0.474609375
8 0.7822265625 0.8701171875 0.232421875 0.2421875
8 0.248046875 0.5966796875 0.169921875 0.2421875
14 0.6025390625 0.3359375 0.177734375 0.50390625
14 0.94921875 0.736328125 0.1015625 0.4921875
4 0.2822265625 0.6396484375 0.046875 0.162109375
14 0.92578125 0.4052734375 0.1484375 0.583984375
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			`10 0.5537109375 0.80859375 0.892578125 0.3828125`
			`14 0.365234375 0.53515625 0.271484375 0.33984375`
			`14 0.16796875 0.6923828125 0.3359375 0.615234375`
			`14 0.236328125 0.318359375 0.236328125 0.439453125`
			`14 0.9150390625 0.390625 0.162109375 0.5703125`
			`14 0.60546875 0.7626953125 0.53515625 0.474609375`
			`8 0.7822265625 0.8701171875 0.232421875 0.2421875`
			`8 0.248046875 0.5966796875 0.169921875 0.2421875`
			`14 0.6025390625 0.3359375 0.177734375 0.50390625`
			`14 0.94921875 0.736328125 0.1015625 0.4921875`
			`4 0.2822265625 0.6396484375 0.046875 0.162109375`
			`14 0.92578125 0.4052734375 0.1484375 0.583984375`