Training YOLO for Object Detection
What is YOLO?
YOLO stands for You Only Look Once. YOLO is a state-of-the-art, real-time object detection system. It was developed by Joseph Redmon. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO has evolved into newer versions over time, viz., YOLOv2, YOLOv3, and YOLOv4.
YOLO uses a totally different approach than other previous detection systems. It applies a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities.
The basic idea of…
(TUTORIAL FOR BEGINNERS)
In Machine Learning, data labeling is the process of identifying raw data (images, text files, videos, etc.) and adding one or more meaningful and informative labels to provide context so that a machine learning model can learn from it. For example, labels might indicate whether a photo contains a bird or car, which words were uttered in an audio recording, or if an x-ray contains a tumor. Data labeling is required for a variety of use cases including computer vision, natural language processing, and speech recognition.
When building a computer vision system, you first need to label images, pixels, or…
