A comprehensive collection of prompts to guide the design, implementation, and analysis of advanced computer vision systems.
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Outline a methodology for analyzing human actions and activities in video data using computer vision techniques.
Analyze and compare the performance characteristics of various object detection models for a specific application.
Outline a comprehensive strategy for implementing semantic segmentation in a given scenario, including data, model, and evaluation.
Create a plan for implementing computer vision-based anomaly detection for quality control in a manufacturing process.
Generate a conceptual design for a facial recognition system, considering ethical implications, data privacy, and technical components.
