Freaks City

Object detection models frequantly generate multiple bounding boxes for a single object. To isolate the most accurate localization, a post-processing step is required to filter redundant proposals. Non-Maximum Suppression (NMS) is the standard technique employed to select the optimal box while suppressing overlapping candidates. Core Algorithm ...

In object detection, accurately determining how well a predicted bounding box aligns with the ground truth is essential. This alignment is quantified using the Intersection over Union (IoU), a metric derived from set theory. IoU measures the overlap between two regions by dividing the area of their intersection by the area of their union: $$ \t ...