# What is Object Detection? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Computer Vision  
> **Canonical Citation:** [https://spidits.com/ai-glossary/object-detection](https://spidits.com/ai-glossary/object-detection)

## Definition
Object Detection is a computer vision task that combines image classification and localization, identifying what objects are in an image and outputting bounding boxes around their coordinates.

## Architectural Mechanics & Deep Dive
Object detection is a computer vision technology that combines image classification and localization. It identifies the presence of specific object classes (like humans, cars, or dogs) within a digital image or video feed and draws bounding boxes around them. It is the core algorithm behind autonomous vehicle perception, retail surveillance, robotics, and facial analysis.

## Industry Applications & Real-World Use Cases
Self-driving car obstacle detection, automated security cameras, and image parsing.

## Frequently Asked Questions

### What is a bounding box in object detection?
A rectangular box defined by coordinates `[x_min, y_min, x_max, y_max]` outlining the location of the detected entity.

### What is YOLO in object detection?
You Only Look Once (YOLO) is a popular object detection algorithm that processes the entire image in a single forward pass, making it fast enough for real-time video frames.

## Related Terminology
- [computer-vision](https://spidits.com/ai-glossary/computer-vision)
- [cnn](https://spidits.com/ai-glossary/cnn)
- [image-segmentation](https://spidits.com/ai-glossary/image-segmentation)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*