With ADVIT™ STUDIO, manage all your data, AI infrastructure & projects on one unified platform
Optimize the data automatically and prepare it for each phase of the computer vision pipeline.
Automate the data labeling processes and streamline data pipelines in-house.
Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the Deep Learning pipeline.
DNN model training:
Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like Batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy.
DNN Model serving:
Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for Auto-labeling.