What is Aquarium?
Machine learning models are only as good as the datasets they're trained on. It helps ML teams make better models by improving their dataset quality.
Aquarium is a tool in the Machine Learning Tools category of a tech stack.
Who uses Aquarium?
- Upload your dataset to get a health check of its quality, quantity, and diversity. Zoom in and out of your dataset. Uncover distribution biases before you train. Find and fix labeling errors quickly
- Upload model inferences against your labeled datasets and deep dive into its performance. Find where your model is performing well and badly so you can take the best actions to improve it
- With knowledge of your dataset diversity and model performance, it automatically samples the best data to sample to label and retrain on. Your model performance just gets better
Aquarium Alternatives & Comparisons
What are some alternatives to Aquarium?
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