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Object Detection is a computer vision technology that identifies and labels objects within images or videos. It combines techniques from machine learning and deep learning, particularly Convolutional Neural Networks (CNNs), to locate and classify objects. Common applications include surveillance, autonomous vehicles, and medical imaging.
What is the accuracy of Object Detection models?
Accuracy depends on the model and dataset used. Advanced models like YOLOv8 or DETR achieve near-human accuracy for common objects.
Can Object Detection work with videos?
Yes, Object Detection can process video frames sequentially, enabling real-time tracking and analysis.
How do I train a custom Object Detection model?
You need a labeled dataset, choose a framework, and train using transfer learning or scratch. Tools like LabelImg simplify annotation.