👉 Detectors are a type of machine learning model used in computer vision and image processing to classify images into predefined categories. They have two main types: Convolutional Neural Network (CNN) Detectors and Recurrent Neural Network (RNN) Detectors. Convolutional Neural Networks (CNNs) Detectors are particularly useful for object detection tasks, where the input is a series of images or videos that contain objects in their frames. These networks learn to recognize patterns in the image data using convolution
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What is the definition of Detecter? 🙋
👉 A detector is a device that can be used to identify or recognize objects, people, events, or other entities. It can take in information from various sources such as sensors, cameras, and microphones, and then convert it into an output signal. Detectors are commonly used in various applications, including security systems for monitoring the environment, traffic control systems, medical diagnostics, and surveillance systems. They can be designed to detect subtle changes or anomalies in the environment, allowing for early detection of potential dangers
