Summary: MLfix to quickly fix datasets

Finding a needle in a haystack with MLfix

Since MLfix was evidently successful in identifying errors even in carefully curated AI datasets like Mapillary traffic sign dataset to improve the performance of the models, as shown in our previous experiments, we ran the synthetic datasets through MLfix which helped us identify many critical issues in our CARLA synthetic data generation pipeline.

MLfix is quite simple and yet very effective in spotting errors in a huge dataset.

MLfix to quickly fix datasets Introduction MLfix Key takeaways Carla Synthetic Datasets Finding a needle in a haystack with MLfix Outlook

Contrary to traditional software development, data is more important than code in machine learning.

We further used this tool to spot errors in our synthetic datasets generated from the CARLA simulator for vehicle and traffic sign detection.

MLfix

Using open-source software, Collabora has developed MLfix which helps to identify and filter out labelling errors in machine learning datasets quickly and efficiently.

Source Article

MLfix to quickly fix datasets

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