Intermediate · Computer Vision
Object Detection
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A computer vision task that identifies and localizes multiple objects in an image with bounding boxes.
Technical Definition
A computer vision task that identifies and localizes multiple objects in an image with bounding boxes.
How it works
Object detection combines classification with localization. Two-stage detectors like Faster R-CNN propose regions then classify. Single-stage detectors like YOLO predict boxes and classes in one pass. Modern detectors like DETR use Transformers. Metrics include mAP and IoU.
Related Concepts
- Convolutional Neural Network (CNN) — A neural network that uses learnable filters to detect spatial patterns like edges, textures, and objects in images.
- Deep Learning — A subset of machine learning using neural networks with many layers to learn hierarchical representations from large datasets.
- Image Segmentation — Classifying every pixel in an image to delineate objects and boundaries with detailed spatial understanding.