Cleanlab is focused on data-centric AI (DCAI), providing algorithms/interfaces to help companies (across all industries) improve the quality of their datasets and diagnose/fix various issues in them. They develop next-generation DCAI algorithms that they release publicly as open-source software (github.com/cleanlab/cleanlab) as well as enterprise SaaS products with interfaces for data scientists/engineers to effectively improve their data quality and produce more reliable ML models. While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise.
“We've started relying on Cleanlab to improve our ML and AI models at Berkeley Research Group LLC for over a month. I have to say, I'm impressed. Here's what we …
"If the classifier is trained with these noisy images directly, its performance could be degraded. In view of this, we attempted to find label errors in the image dataset with …
"I used an open-sourced library, cleanlab, to remove low-quality labels on an image dataset. The [ResNet] model trained on the dataset without low-quality data gained 4 percentage points of accuracy …
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