Cleaner. Smarter.
Data Wash provides the most advanced image dataset tools to detect anomalies, reduce entropy, rebalance class distributions, optimize dataset structure and so much more
Features:
Anomaly Detection
Mislabeled images
Duplicate detection
Class distribution outlier detection
Detect scale, alignment, and rotation inconsistencies
Re-scale, re-align and rotate tools
High noise detector
Detect mislabeled images
Identify duplicates and near-duplicates
Highlight class imbalance and outliers
Flag high-noise or corrupted images
Data Entropy Optimization
Entropy reduction suggestions
Class bifurcation suggestions
Find information gain by assessing if bifurcated clusters, when separated into distinct classes, achieve lower entropy than the combined class.
Data shuffler
Maximize the randomness of input sorting, not based on input labels, but on the informational content of the inputs themselves. Randomize multi-class training data prior to training to improve your model's generalization, achieve faster and more stable convergence, and mitigate over fitting.
Training & Testing Data Comparison
Measure the distribution of inferential comparison between training and testing data sets to optimize allocation of images between training, validation and testing sets. Ensure the training and testing sets are fair representations.
Unstructured Data Tools
Image cluster analysis
Like k-means clustering for 2D images.
Classify and label unlabeled images
Leverage our huge library of pre-trained classifiers to automate much of this resource-heavy task. By re-labeling our model classes many feature types can be recognized with sufficient accuracy to dramatically speed up your own project.
"Improving the data is not a ‘preprocessing’ step that you do once. It’s part of the iterative process of model development."
How It Works:
Connect Your Dataset
Import from local storage, cloud buckets, or your data lake
Define Tasks & Tools
Utilize any or all of Data Wash's tools to optimize your image dataset
Connected Analytics
Output reports and analytics to fine-tune manually or apply automated corrections
Key Benefits:
Improve Model Accuracy
By reducing noise and optimizing dataset structure
Save Time & Budget
Often wasted on manual dataset review
Increase Model Reliability
With balanced and consistent training data
Scale Up Confidently
With datasets of any size
Private Beta Launch in 2026
We’re preparing to launch Data Wash, a platform for high-throughput image dataset optimization through 2D image analysis and structural cleanup.
Before public release, we’re selecting a very limited number of early customer partners to onboard with reduced pricing during our beta phase.
If your team works with image datasets ≥100k samples, it could be a strong fit. If you'd like to be considered, connect with us now before our applicant list is closed.
The provided information does not constitute an offer or invitation to make offers or invitation to buy, sell or otherwise use any services, products and/or resources referred to on this website, and may be changed at any time. Contact us for more information.
Data Wash is transforming how image data is prepared and processed for deep learning models. We make massive image datasets move fast. And help data engineers & scientists be the project hero.
Don't be left in the dirt! Turn your bottleneck into a competitive advantage.
ABOUT DATA WASH
We're on a mission to elevate data scientists & engineers, to help them spend more time innovating & creating and less time cleaning.
We make image dataset preparation and cleaning fast, predictable and scalable, so teams can accelerate their ML breakthroughs.
Join us for a data centric approach to building smarter AI models.
Built by scientists, for scientists.
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