Overview
Object detection goes beyond simple image classification by not only saying 'what' is in an image but also 'where' it is. It typically outputs bounding boxes around detected objects along with class labels and confidence scores.
Key Components
- Bounding Box: A rectangle that encloses the detected object.
- Classification: Identifying the category of the object (e.g., car, person, dog).
- Localization: Determining the coordinates of the object in the image.
Popular Algorithms
- YOLO (You Only Look Once): Known for its high speed and real-time performance.
- Faster R-CNN: A two-stage detector known for high accuracy.
- SSD (Single Shot MultiBox Detector): A balance between speed and accuracy.
Applications
- Autonomous vehicles (detecting pedestrians, traffic lights).
- Surveillance and security systems.
- Medical imaging (detecting tumors or lesions).