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Key metric measuring the number of frames processed per second by a detection system, determining its ability to operate in real-time.

Delay in milliseconds between image acquisition and the production of detection results, crucial for interactive applications.

Post-processing algorithm that eliminates redundant detections by keeping only the boxes with the highest confidence scores.

Optimization technique that reduces the numerical precision of model weights (e.g., 32-bit to 8-bit) to accelerate inference.

Optimized sequence of processing steps from video input to detection output, including pre/post-processing.

Intel toolkit for optimized deployment of AI models on various hardware architectures (CPU, GPU, VPU).

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