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Discover why choosing the right class labels is pivotal for top-tier computer vision models. Learn when label issues arise and how to establish the right labeling system. Plus, find out how to communicate your ontology choices to stakeholders and add new labels as required.
By the end of this blog post, you should be able to: - Understand the best practices behind iterative model improvement and why mAP plays one part of an overall model improvement strategy - Identify the phases of model improvement and when to use the ideal strategy - Project mod...
In the vibrant field of artificial intelligence (AI), computer vision stands out as one of the most fascinating and rapidly evolving sub-disciplines. Its goal, put simply, is to enable machines to 'see' and understand the visual world around them. Achieving this requires models t...
In the contemporary data-driven business landscape, acquiring quality data for machine learning (ML) and artificial intelligence (AI) applications is a top priority. However, real-world data can be challenging to collect, clean, and structure. That's where synthetic data steps in...
Create a Bifrost.ai account and start generating synthetic data today! Contact us at sales@bifrost.ai to enable access to the generative channels you need.