Object Detection: How Computer Vision Identifies Things in Images

Object detection is one of the most important tasks in computer vision, enabling everything from self-driving cars to image search.

How Object Detection Works

Object detection combines two tasks:

1. Localization: Finding where objects are (bounding boxes)

2. Classification: Identifying what each object is (labels)

YOLO (You Only Look Once): Real-time detection, single pass

SSD (Single Shot Detector): Fast, good accuracy

Faster R-CNN: Two-stage, higher accuracy

DETR: Transformer-based, state-of-the-art

Models like COCO are trained on 80 categories including:

people, vehicles, animals, furniture, electronics, food, and more.

Security: Surveillance and monitoring

Retail: Inventory management, self-checkout

Healthcare: Medical image analysis

Accessibility: Describing images for visually impaired users

Try our Object Detection tool to identify objects in your images.

For a broader picture of what is in an image, pair object detection with our Image Classifier to get top-level scene labels.

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