Yolo-12-everything/datasets/train/labels/2011_000828_jpg.rf.212be59f9d6ccc6867292e5e38fa0179.txt

4 0.5908203125 0.169921875 0.0576171875 0.0341796875
17 0.4755859375 0.7900390625 0.951171875 0.412109375
4 0.013671875 0.4345703125 0.02734375 0.169921875
14 0.279296875 0.712890625 0.318359375 0.568359375
14 0.525390625 0.658203125 0.25390625 0.6787109375
14 0.798828125 0.701171875 0.3984375 0.591796875
14 0.171875 0.3095703125 0.2236328125 0.6181640625
14 0.3359375 0.3056640625 0.2158203125 0.4423828125
14 0.57421875 0.33984375 0.259765625 0.552734375
14 0.7236328125 0.3037109375 0.095703125 0.2607421875
14 0.826171875 0.3857421875 0.2275390625 0.6396484375
14 0.9658203125 0.5654296875 0.064453125 0.2001953125
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			`4 0.5908203125 0.169921875 0.0576171875 0.0341796875`
			`17 0.4755859375 0.7900390625 0.951171875 0.412109375`
			`4 0.013671875 0.4345703125 0.02734375 0.169921875`
			`14 0.279296875 0.712890625 0.318359375 0.568359375`
			`14 0.525390625 0.658203125 0.25390625 0.6787109375`
			`14 0.798828125 0.701171875 0.3984375 0.591796875`
			`14 0.171875 0.3095703125 0.2236328125 0.6181640625`
			`14 0.3359375 0.3056640625 0.2158203125 0.4423828125`
			`14 0.57421875 0.33984375 0.259765625 0.552734375`
			`14 0.7236328125 0.3037109375 0.095703125 0.2607421875`
			`14 0.826171875 0.3857421875 0.2275390625 0.6396484375`
			`14 0.9658203125 0.5654296875 0.064453125 0.2001953125`