Prepare images and videos for data annotation and model training using ADVIT platform. Data pre-processing plugins help you optimise the data automatically and prepare it for each phase of the computer vision pipeline.
Our automated data labelling solution can be combined with an existing data pipeline for businesses. Our white-labeled Annotation platform at the enterprise level has proven to be extremely useful in streamlining data pipelines in-house.
With ADVIT’s unified architecture, Deep Learning models can be optimised for accuracy before being added in the model serving pipeline for real-time inference.
Custom DL models can be integrated & visualized on run-time to create the most accurate model for your data using our model integration API. ADVIT provides a completely scalable, end-to-end deep learning framework.
Frameworks Supported include:
The most advanced AI-assisted platform to create and manage high-quality training data all in one place.
ADVIT manages your structured and unstructured video/image/text datasets in runtime. Data management plugins allow you to perform automatic functions that refine your data in preparation for each step of the Deep Learning pipeline.
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.
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.
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