Yolo-12-everything/datasets/train/labels/2008_001083_jpg.rf.d5968df7472d27947ab343839a4d2300.txt

14 0.470703125 0.4091796875 0.12890625 0.185546875
14 0.21875 0.69921875 0.376953125 0.591796875
14 0.2158203125 0.44140625 0.115234375 0.3046875
14 0.765625 0.52734375 0.15234375 0.4765625
14 0.6220703125 0.611328125 0.21484375 0.634765625
8 0.1865234375 0.830078125 0.345703125 0.328125
8 0.6279296875 0.779296875 0.220703125 0.435546875
8 0.7568359375 0.6728515625 0.087890625 0.40625
8 0.046875 0.591796875 0.09375 0.1328125
10 0.41015625 0.75 0.388671875 0.49609375
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 0.470703125 0.4091796875 0.12890625 0.185546875`
			`14 0.21875 0.69921875 0.376953125 0.591796875`
			`14 0.2158203125 0.44140625 0.115234375 0.3046875`
			`14 0.765625 0.52734375 0.15234375 0.4765625`
			`14 0.6220703125 0.611328125 0.21484375 0.634765625`
			`8 0.1865234375 0.830078125 0.345703125 0.328125`
			`8 0.6279296875 0.779296875 0.220703125 0.435546875`
			`8 0.7568359375 0.6728515625 0.087890625 0.40625`
			`8 0.046875 0.591796875 0.09375 0.1328125`
			`10 0.41015625 0.75 0.388671875 0.49609375`