Object Detection Overview¶
Object detection is a computer vision task that involves identifying and locating objects within images using rectangular bounding boxes. Each detection includes:
- A category label (e.g., "car", "person", "dog")
- A bounding box defining the object's location and size
- Optional confidence score indicating detection certainty
Labelformat supports converting between major object detection annotation formats like COCO, YOLO, and Pascal VOC while preserving the essential bounding box coordinates and category information.