Beyond mAP: Better Evaluation of Bbox
In my experiences with computer vision models, evaluating the performance of instance segmentation or object detection models has predominantly relied on a m...
In my experiences with computer vision models, evaluating the performance of instance segmentation or object detection models has predominantly relied on a m...
Knowledge Distillation is a process that refines large, complex models into smaller, efficient ones without losing much of the original performance. The conc...
This isn’t just theory—it’s battle-tested. Over years of deploying vision systems for farming applications, I’ve learned one truth: architecture choice makes...
Understanding Relativity: My note into the Depths of Space and Time
The Concept of Conformal Prediction
Transitioning from Python to Elixir in Data Science Data processing is often dominated by Python and libraries like pandas and spark. However, Elixir is emer...