delabeling data
数据去标签
preventing delabeling
防止去标签
delabeling process
去标签过程
avoiding delabeling
避免去标签
ongoing delabeling
正在进行的去标签
risk of delabeling
去标签的风险
delabeling errors
去标签错误
post-delabeling check
去标签后检查
delabeling stage
去标签阶段
the team is performing extensive delabeling of the dataset to improve accuracy.
团队正在对数据集进行广泛的标签移除，以提高准确性。
automated delabeling tools can significantly speed up the data cleaning process.
自动标签移除工具可以显著加快数据清洗过程。
careful delabeling is crucial to avoid introducing bias into the model.
谨慎的标签移除对于避免将偏差引入模型至关重要。
we need to perform delabeling on the noisy data before training the algorithm.
在训练算法之前，我们需要对噪声数据进行标签移除。
the goal of delabeling is to remove irrelevant or incorrect labels.
标签移除的目标是删除不相关或错误的标签。
manual delabeling is sometimes necessary for complex or ambiguous cases.
对于复杂或模棱两可的案例，有时需要手动标签移除。
the delabeling process requires a thorough understanding of the data.
标签移除过程需要对数据有充分的理解。
we are evaluating different delabeling strategies to optimize performance.
我们正在评估不同的标签移除策略以优化性能。
the system supports both manual and automated delabeling workflows.
该系统支持手动和自动的标签移除工作流程。
after delabeling, the data quality improved considerably.
标签移除后，数据质量有了相当大的提高。
regular delabeling helps maintain the integrity of the labeled data.
定期进行标签移除有助于维护标记数据的完整性。
delabeling data
数据去标签
preventing delabeling
防止去标签
delabeling process
去标签过程
avoiding delabeling
避免去标签
ongoing delabeling
正在进行的去标签
risk of delabeling
去标签的风险
delabeling errors
去标签错误
post-delabeling check
去标签后检查
delabeling stage
去标签阶段
the team is performing extensive delabeling of the dataset to improve accuracy.
团队正在对数据集进行广泛的标签移除，以提高准确性。
automated delabeling tools can significantly speed up the data cleaning process.
自动标签移除工具可以显著加快数据清洗过程。
careful delabeling is crucial to avoid introducing bias into the model.
谨慎的标签移除对于避免将偏差引入模型至关重要。
we need to perform delabeling on the noisy data before training the algorithm.
在训练算法之前，我们需要对噪声数据进行标签移除。
the goal of delabeling is to remove irrelevant or incorrect labels.
标签移除的目标是删除不相关或错误的标签。
manual delabeling is sometimes necessary for complex or ambiguous cases.
对于复杂或模棱两可的案例，有时需要手动标签移除。
the delabeling process requires a thorough understanding of the data.
标签移除过程需要对数据有充分的理解。
we are evaluating different delabeling strategies to optimize performance.
我们正在评估不同的标签移除策略以优化性能。
the system supports both manual and automated delabeling workflows.
该系统支持手动和自动的标签移除工作流程。
after delabeling, the data quality improved considerably.
标签移除后，数据质量有了相当大的提高。
regular delabeling helps maintain the integrity of the labeled data.
定期进行标签移除有助于维护标记数据的完整性。
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