Object Detection.

Identifying and localizing objects within an image by drawing bounding boxes around them.

In-depth explanation

Object detection combines classification (what) with localization (where). Two-stage detectors (R-CNN family) first propose regions then classify; one-stage detectors (YOLO, SSD) predict boxes and classes simultaneously for faster inference. Metrics include mAP (mean Average Precision). Applications include autonomous driving, security, and retail.

Examples

EX. 01

YOLO detecting cars and pedestrians

EX. 02

Retail product detection

More in Computer Vision

01Computer VisionThe field of AI enabling computers to interpret and understand visual information from the world.02Image SegmentationPartitioning an image into multiple segments or regions, classifying each pixel.

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