Object detection is a technique used in computers to identify specific objects within provided images or video frames. Steps to follow for object detection in OpenCV include:
•Gathering datasets of the given images or video frames.
•Choosing the perfect detection algorithms like Haar cascades, YOLO, SSD, etc.
•Performing the necessary pre-processing steps (resizing, coloring, etc.) on your dataset based on requirements.
•Applying the chosen object detection algorithm to generate the necessary model files or parameters.
•Drawing segmentation masks around the detected objects to visualize the results.