Yolo-12-everything/datasets/valid/labels/2012_001584_jpg.rf.c62b6cee9b41bc3d2c8c81ef4f1a63ea.txt

14 0.751953125 0.5478515625 0.1318359375 0.38671875
14 0.626953125 0.5517578125 0.1064453125 0.373046875
14 0.4111328125 0.5576171875 0.09765625 0.416015625
14 0.951171875 0.453125 0.09375 0.3203125
14 0.5009765625 0.541015625 0.1015625 0.4267578125
14 0.06640625 0.5 0.080078125 0.26953125
14 0.21875 0.5029296875 0.07421875 0.263671875
14 0.7978515625 0.5068359375 0.0556640625 0.357421875
14 0.8623046875 0.5068359375 0.072265625 0.3037109375
14 0.3447265625 0.541015625 0.09375 0.3837890625
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 0.751953125 0.5478515625 0.1318359375 0.38671875`
			`14 0.626953125 0.5517578125 0.1064453125 0.373046875`
			`14 0.4111328125 0.5576171875 0.09765625 0.416015625`
			`14 0.951171875 0.453125 0.09375 0.3203125`
			`14 0.5009765625 0.541015625 0.1015625 0.4267578125`
			`14 0.06640625 0.5 0.080078125 0.26953125`
			`14 0.21875 0.5029296875 0.07421875 0.263671875`
			`14 0.7978515625 0.5068359375 0.0556640625 0.357421875`
			`14 0.8623046875 0.5068359375 0.072265625 0.3037109375`
			`14 0.3447265625 0.541015625 0.09375 0.3837890625`