Yolo-12-everything/datasets/valid/labels/2009_002372_jpg.rf.d3e6afb6c3e73c272b0cdcc741938bb0.txt

4 0.1845703125 0.310546875 0.07421875 0.2294921875
14 0.224609375 0.5810546875 0.3095703125 0.83203125
4 0.333984375 0.5751953125 0.0439453125 0.2451171875
14 0.421875 0.6328125 0.3603515625 0.7275390625
14 0.443359375 0.330078125 0.2021484375 0.4951171875
14 0.7763671875 0.5546875 0.251953125 0.8837890625
14 0.63671875 0.5703125 0.2099609375 0.853515625
4 0.55859375 0.537109375 0.0458984375 0.1923828125
4 0.619140625 0.4619140625 0.1064453125 0.2197265625
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 0.1845703125 0.310546875 0.07421875 0.2294921875`
			`14 0.224609375 0.5810546875 0.3095703125 0.83203125`
			`4 0.333984375 0.5751953125 0.0439453125 0.2451171875`
			`14 0.421875 0.6328125 0.3603515625 0.7275390625`
			`14 0.443359375 0.330078125 0.2021484375 0.4951171875`
			`14 0.7763671875 0.5546875 0.251953125 0.8837890625`
			`14 0.63671875 0.5703125 0.2099609375 0.853515625`
			`4 0.55859375 0.537109375 0.0458984375 0.1923828125`
			`4 0.619140625 0.4619140625 0.1064453125 0.2197265625`