Browse all content tagged with AI Metrics
Discover the importance of AI model accuracy and stability in machine learning. Learn how these metrics impact applications like fraud detection, medical diagnostics, and chatbots, and explore techniques to enhance reliable AI performance.
Mean Average Precision (mAP) is a key metric in computer vision for evaluating object detection models, capturing both detection and localization accuracy with a single scalar value. It is widely used in benchmarking and optimizing AI models for tasks like autonomous driving, surveillance, and information retrieval.
