Loading STRADVISION
EN
Newsroom
Careers

CompliKit

Complete Suite to achieve final performance under your control

For network model development and reliable operation, it is important to increase confidence by utilizing high-quality data unique to the customer. CompliKit offers a complete ML Pipeline that is much faster and easier to handle overall performance improvements from data sampling, annotation, model training, platform optimization, and final performance evaluation.
** CompliKit is S-a-a-S service based on SVNet.
Request Further informationarrow_forward
Data Sampling (Raw) data Ingestion Deployment Data Preparation CompliKit Data Annotation Model Training Model building &Training Target HWOptimization Evaluation SVRetriever SVAnnotator SVTrainer SVOptimizer SVEvaluator

Supported Features

SVRetriever

Quickly define and select useful data information.

SVAnnotator

Provides a labeling tool to generate training data required to create models.
It supports automatic and manual data labeling capabilities depending on its data policy, dramatically reducing the time and human errors.

SVTrainer

Simplify model training by leveraging labeled data.

SVOptimizer

Support optimization of trained models on target hardware.

SVEvaluator

Provide a verification & validation procedure to assess the performance of the trained model.

Sample UI

Request Further informationarrow_forward
Single Image
Single Image
Single Image
See Other Products
ProDriver
ParkAgent
ImmersiView