Yolo-12-everything/datasets/train/labels/2011_000996_jpg.rf.2ee3a76b422a21ca0f21d064d8d05551.txt

14 0.90625 0.4208984375 0.1875 0.1796875
14 0.869140625 0.44140625 0.26171875 0.5390625
14 0.384765625 0.673828125 0.76953125 0.65234375
14 0.0810546875 0.677734375 0.162109375 0.63671875
14 0.26953125 0.3193359375 0.1796875 0.21484375
14 0.4892578125 0.361328125 0.22265625 0.314453125
14 0.365234375 0.365234375 0.181640625 0.400390625
4 0.7734375 0.8115234375 0.0703125 0.26953125
4 0.68359375 0.84375 0.0703125 0.17578125
4 0.5048828125 0.587890625 0.0546875 0.1796875
4 0.640625 0.6142578125 0.087890625 0.306640625
4 0.5439453125 0.505859375 0.048828125 0.169921875
10 0.482421875 0.671875 0.96484375 0.65625
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 0.90625 0.4208984375 0.1875 0.1796875`
			`14 0.869140625 0.44140625 0.26171875 0.5390625`
			`14 0.384765625 0.673828125 0.76953125 0.65234375`
			`14 0.0810546875 0.677734375 0.162109375 0.63671875`
			`14 0.26953125 0.3193359375 0.1796875 0.21484375`
			`14 0.4892578125 0.361328125 0.22265625 0.314453125`
			`14 0.365234375 0.365234375 0.181640625 0.400390625`
			`4 0.7734375 0.8115234375 0.0703125 0.26953125`
			`4 0.68359375 0.84375 0.0703125 0.17578125`
			`4 0.5048828125 0.587890625 0.0546875 0.1796875`
			`4 0.640625 0.6142578125 0.087890625 0.306640625`
			`4 0.5439453125 0.505859375 0.048828125 0.169921875`
			`10 0.482421875 0.671875 0.96484375 0.65625`