Blog
Company updates, tutorials, research, and more!
CleanVision: Audit your Image Data for better Computer Vision
03/22/2023
Introducing an open-source Python package to automatically identify common issues in image datasets.
Sanjana Garg 
Ulyana Tkachenko 
Yiming Chen 
Elías Snorrason 
Jonas Mueller
ActiveLab: Active Learning with Data Re-Labeling
03/02/2023
ActiveLab helps you optimally choose which data to (re)label, lowering the cost to train an accurate ML model.
Hui Wen Goh - Jonas Mueller
Handling Mislabeled Tabular Data to Improve Your XGBoost Model
02/06/2023
Learn how to reduce prediction errors by 70% using data-centric techniques with cleanlab.
Chris Mauck
CROWDLAB: Simple and effective algorithms to handle data labeled by multiple annotators
10/05/2022
Understanding cleanlab's new methods for multi-annotator data and what makes them effective.
- Hui Wen Goh
- Ulyana Tkachenko
- Jonas Mueller
Cleanlab: The History, Present, and Future
04/01/2022
How an MIT grad student project became a company with tech used by Google, Amazon, Tesla, Uber, Facebook, and companies around the world.
Curtis Northcutt
Training Transformer Networks in Scikit-Learn?!
03/08/2023
Learn how to easily make any Tensorflow/Keras model compatible with scikit-learn.
- Hui Wen Goh
cleanlab 2.3 adds support for Active Learning, Tensorflow/Keras models made sklearn-compatible, and highly scalable Label Error Detection
03/01/2023
Highlighting what's new in cleanlab 2.3
- Jonas Mueller
Automatic Error Detection for Image/Text Tagging and Multi-label Datasets
11/29/2022
Introducing new data quality algorithms for multi-label classification in cleanlab v2.2
Aditya Thyagarajan - Elías Snorrason
- Curtis Northcutt
- Jonas Mueller
Out-of-Distribution Detection via Embeddings or Predictions
10/19/2022
Introducing cleanlab's dual new methods to detect outliers and how they perform on real image data.
- Ulyana Tkachenko
- Jonas Mueller
A Simple Adjustment Improves Out-of-Distribution Detection for Any Classifier
10/19/2022
Exploring new ways to identify outliers based on probabilistic predictions from a trained classifier.
- Ulyana Tkachenko
- Jonas Mueller
- Curtis Northcutt
Detecting Label Errors in Entity Recognition Data
10/12/2022
Understanding cleanlab's new methods for text-based token classification tasks.
Wei-Chen (Eric) Wang - Elías Snorrason
- Jonas Mueller
cleanlab 2.1 adds Multi-Annotator Analysis and Outlier Detection: toward a broad framework for Data-Centric AI
09/21/2022
Highlighting new features available in cleanlab 2.1
- Curtis Northcutt
- Jonas Mueller
How we built Cleanlab Vizzy
08/17/2022
How we built an in-browser visualization of Cleanlab's Confident Learning algorithm.
Caleb Chiam 
Luke Mainwaring - Yiming Chen
Handling Label Errors in Text Classification Datasets
05/10/2022
Learn how to find label issues in text datasets and improve NLP models.
Wei Jing Lok - Jonas Mueller
- Hui Wen Goh
Finding Label Issues in Audio Classification Datasets
04/27/2022
Learn how to find label issues in any audio classification dataset.
Johnson Kuan - Jonas Mueller
Anish Athalye
Finding Label Issues in Image Classification Datasets
04/21/2022
Learn how to automatically find label issues in any image classification dataset.
- Wei Jing Lok
- Jonas Mueller
cleanlab 2.0: Automatically Find Errors in ML Datasets
04/21/2022
Announcing cleanlab 2.0: an open-source framework for machine learning and analytics with messy, real-world data.
- Curtis Northcutt
- Jonas Mueller
- Anish Athalye