IRIS Object Detection Model Development (Fixed Scope)

This service delivers a single, production-ready object detection model trained on your data using IRIS’s structured development workflow.

The process includes dataset preparation, experiment design, architecture selection, and hyperparameter tuning, all managed within a controlled environment to ensure consistent and reliable results.

Model development is focused on achieving strong performance under real-world conditions, including variability in lighting, distance, and background complexity. Iteration is handled internally through structured experimentation, without requiring the customer to manage model selection or tuning decisions.

The final deliverable includes a trained model, evaluation metrics, and supporting artifacts ready for deployment or integration into downstream systems.

AWS Environment and Delivery Model development and validation are performed in AWS using Amazon EC2 compute resources (with optional GPU-backed instances as needed) and Amazon S3 for secure dataset and artifact storage. Final model artifacts are delivered in a format compatible with Amazon SageMaker for deployment and inference. Upon request, IRIS can deliver output directly to the customer’s AWS account via Amazon S3 and register the resulting model in Amazon SageMaker Model Registry to support governed promotion into production.

For organizations that require deeper comparison across multiple architectures, a separate Model Evaluation and Benchmarking service is available.