Akridata Model Diagnosis
Detect and Remediate AI Model Performance Problems
Inaccurate models generate unreliable results. With Akridata, you can:
Diagnose model performance issues from a data perspective.
See the salient image features that influence model inference.
Easily measure the spatial support of a particular image class.
Quickly surface divergent data points across datasets.
Using Akridata's interactive model diagnosis, users root cause issues 2x faster thus accelerate their to model production
Akridata provides interactive analysis and saliency mapping so you can diagnose your model more efficiently. By using a novel representation of your datasets, you can easily see what’s causing issues and where to make improvements.
BENEFITS
Benefits of Model Diagnosis
Akridata customers use Model Diagnosis to:
- Understand why model predictions are incorrect
- Remediate issues by improving training datasets
- Save researchers and data scientists hours of analysis time
Akridata’s Data Explorer
Model Diagnosis is part of Akridata’s Data Explorer, which improves model accuracy, curates better training
sets and reduces labeling costs. Data scientists rely on the platform to:
- Access and explore their visual datasets from any source
- Use interactive search to build effective training datasets
- Evaluate and improve model accuracy