AIMMO Core - Smart Curation facilitates easy access to AI-driven data curation services for autonomous driving datasets without the need to physically move customer data. It enables curation of datasets by sending image files located in the customer's Azure Blob Storage to AI models via URL, with the curated results readily viewable through an accompanying web viewer, allowing for highly convenient visual management. The service operates directly within the customer's Azure Storage, ensuring data security and significant time savings in management by eliminating the need to transfer large volumes of data for AI inference.

The Curation Viewer SDK provided by AIMMO Core - Smart Curation allows for visually convenient and effective management of customer datasets. Customers can integrate their data by specifying data paths in Azure Storage, input the provided API Key to request inference from the curation model, and manage the curated results through the web viewer.

Curation results are provided in two forms. Firstly, embedding models transform image files into three-dimensional vector values, enabling classification through a 3D graph and facilitating the search for similar images. Secondly, metadata pertinent to autonomous driving such as weather conditions, time, and road conditions are generated for the images. Combining these two types of information enables customers to efficiently generate and store curated results tailored to their specific needs.

Azure Cloud customers can readily use this service, which is particularly beneficial in the autonomous driving domain where large volumes of image datasets are common. It provides efficient data curation at the data preprocessing stage, where selecting labeling data for AI model training is crucial. AIMMO Core plans to sequentially release services for data collection, labeling automation, and generative AI for data enhancement, supporting the entire lifecycle management of data for AI.

Easy Operation

• Quick SDK installation and API integration support in a CLI environment.

• User-friendly web viewer service.

Optimized for Azure Cloud Environment

• Integration support with Azure Blob Storage.
• Web service provided for managing curation model usage and costs.
• Provision of user-specific usage monitoring information within the workspace allocated per subscription.

Data Preprocessing and Visibility

• Automated metadata and embedding model inference.
• Support for visualization of curation results.

Target Customers for AIMMO Core - Smart Curation

• Clients needing to prepare training data for machine learning models.
• Clients who require training data for computer vision models.
• Clients seeking cost-effective methods to quickly acquire high-quality training data.
• Clients under tight deadlines needing productive quality in training data.
• Researchers wanting to prepare their own training data.
• Clients aiming to enhance the performance of autonomous driving models.

These capabilities position AIMMO Core - Smart Curation as a vital tool for various stakeholders in data-driven sectors, especially those involved in developing and refining AI models.