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AI & Machine Learning · Intermediate

Object Detection

A computer vision task that identifies and locates multiple objects in an image with bounding boxes.

Definition

Detectors output class labels, bounding-box coordinates and confidence scores for each object. Popular architectures include YOLO, Faster R-CNN and DETR. Evaluation uses intersection over union (IoU) and mean average precision (mAP).

Example

Counting cars in a parking-lot camera feed.

Exam tip

Bounding boxes in the scenario mean object detection.

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