AIMMO Core - Smart 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

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 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.