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Filtros aplicados

Wireless Network Ready Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

This reference implementation provides an AI-enabled approach to prediction and detection of bearing failure by analyzing vibration data.

Real-time Sensor Fusion for Loss Detection allows you to deploy sensor fusion technology for loss detection at self-checkout.

Introduces RayOnSpark, a distributed open source framework from UC Berkeley RISELab that supports big data applications such as reinforcement learning

Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

Driver Management

Driver Management Reference Implementation is designed to detect and track driver behavior and actions to help prevent dangerous situations.

Use TensorFlow* performance Jupyter* notebooks to analyze the performance benefit of Intel® Optimizations for TensorFlow*.

This is a ResNet50 v1.5 FP32 inference model package optimized with TensorFlow* with artifacts needed to run on bare metal.

This is a ResNet50 v1.5 FP32 inference container optimized with TensorFlow*.

These containers include Intel® Distribution for Python* Full and default to starting with a bash shell.

These containers include Intel® Distribution for Python* Core and default to starting with a bash shell.

OpenVINO™ Model Server

OpenVINO™ Model Server is a scalable, high-performance solution for serving machine learning models optimized for Intel® architectures.