Object detection is a fascinating field in computer vision involving the localization and classification of objects within an image. Advances in this area have been propelled by deep learning algorithms. Popular frameworks such as TensorFlow and PyTorch provide powerful tools for building custom object detection models.
Key Components
- Classification: Determining the type of object.
- Localization: Identifying the position of an object.
- Segmentation: Accurately delineating the boundaries of an object.
Popular Algorithms
Some popular algorithms include:
- YOLO (You Only Look Once) - Quick and efficient with one-stage detection.
- RCNN (Region-based Convolutional Neural Networks) - In-depth, two-stage detection.