DataFunTalk
Jul 3, 2020 · Artificial Intelligence
Confident Learning: Detecting and Cleaning Noisy Labels with cleanlab
This article introduces confident learning, a principled framework for identifying and correcting mislabeled data in machine‑learning datasets, explains its three‑step process (count, clean, re‑training), demonstrates usage of the open‑source cleanlab library with code examples, and presents experimental results showing its effectiveness on benchmarks such as CIFAR‑10 and ImageNet.
cleanlabconfident learningdata cleaning
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