AI-exp-5/datasets/train/labels/-10-1_mp4-80_jpg.rf.16f8a6895ac6258f5dfae142c11f77f0.txt

1 0.49093364208984375 0.9220679010416667 0.47550154296875 0.9259259257812501 0.4783950615234375 0.991512345703125 0.49093364208984375 0.991512345703125 0.49093364208984375 0.9220679010416667
0 0.48032407421875 0.006430041015625 0.47067901220703123 0.006430041015625 0.47067901220703123 0.07587448567708334 0.481288580078125 0.07587448567708334 0.48032407421875 0.006430041015625
2 0.1774691357421875 0.7497427981770833 0.46392746923828126 0.5375514401041667 0.481288580078125 0.54140946484375 0.5092592592773437 0.5259773665364583 0.5092592592773437 0.47325102864583335 0.48032407421875 0.456532921875 0.45717592578125 0.47067901236979165 0.451388888671875 0.5066872428385417 0.1716820986328125 0.7368827161458333 0.1774691357421875 0.7497427981770833
feat(datasets): 添加新的训练和验证数据标签 - 在 train 和 valid 文件夹中添加了多个新的标签文件 - 标签文件包含了不同类型的目标检测框坐标和类别 - 新增数据有助于模型训练和性能提升 2025-06-06 10:07:28 +00:00			`1 0.49093364208984375 0.9220679010416667 0.47550154296875 0.9259259257812501 0.4783950615234375 0.991512345703125 0.49093364208984375 0.991512345703125 0.49093364208984375 0.9220679010416667`
			`0 0.48032407421875 0.006430041015625 0.47067901220703123 0.006430041015625 0.47067901220703123 0.07587448567708334 0.481288580078125 0.07587448567708334 0.48032407421875 0.006430041015625`
			`2 0.1774691357421875 0.7497427981770833 0.46392746923828126 0.5375514401041667 0.481288580078125 0.54140946484375 0.5092592592773437 0.5259773665364583 0.5092592592773437 0.47325102864583335 0.48032407421875 0.456532921875 0.45717592578125 0.47067901236979165 0.451388888671875 0.5066872428385417 0.1716820986328125 0.7368827161458333 0.1774691357421875 0.7497427981770833`