Welcome to the Object Detection Challenge! This competition is designed to advance the field of computer vision by challenging participants to develop models that can accurately detect objects in images. The focus is on evaluating the model's ability to predict bounding boxes around objects using mean Average Precision (mAP) with an Intersection over Union (IoU) threshold of 50%.
**Goal:** 

The goal of this competition is to create a model that can accurately identify and localize objects in various images. Participants are expected to predict bounding boxes around the objects with a confidence score greater than 50%. The challenge will help in understanding the effectiveness of different object detection algorithms in varying conditions and their applicability in real-world scenarios.