OBJECT DETECTION

Object detection is a computer vision technique that identifies objects in images, videos, or live footage. It uses machine learning or deep learning to analyze images and videos.

How does object detection work?

• Object detection models are trained using annotated images.?
• The models use convolutional neural networks (CNNs) to classify objects.?
• They use regressor networks to predict the bounding box coordinates for each object.?
• A bounding box is a quadrilateral that identifies the edges of an object.?
• The bounding box is labeled with the object's name, such as "person", "car", or "dog".?
• Medical imaging: Used to locate objects in medical images
• Self-driving cars: Used to detect objects in the environment
• Food manufacturing: Used to ensure the integrity of products before packaging
• Retail: Used to streamline inventory management
• Manufacturing: Used to speed up the repair process

Some object detection models: R-CNN, Fast R-CNN, Faster R-CNN, and YOLO.?

Several algorithms are used for object detection, including YOLO, R-CNN, HOG, and CNN.?

YOLO (You Only Look Once)

• A real-time object detection algorithm that identifies objects in images, videos, or live feeds?
• Developed by Joseph Redmon and Ali Farhadi in 2015?
• YOLOv2, also known as YOLO9000, was introduced in 2016?

R-CNN (Region-Based Convolutional Neural Networks)?

• A popular algorithm used for object detection
• Fast R-CNN is another algorithm in this family

HOG (Histogram of Oriented Gradients)?

• A popular feature descriptor used for object detection
• Extracts information from images by calculating gradient orientations in specific regions

CNN (Convolutional Neural Networks)?

• Specialized for processing grid-like data, such as images
• Uses convolutional layers to detect spatial hierarchies

Detectron2?

• A PyTorch-based object detection framework developed by Facebook's AI research team
• Supports most of the state-of-the-art detection techniques, object detection methods, and segmentation algorithms

Real-time object detection models are used in video analytics, robotics, autonomous vehicles, and more.?