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:
ā¢Gathering datasets of the given images or video frames.
ā¢Choosing the perfect detection algorithms like Haar cascades, YOLO, SSD, etc.
ā¢Performing the necessary pre-processing steps (resizing, coloring, etc.) on your dataset based on requirements.
ā¢Applying the chosen object detection algorithm to generate the necessary model files or parameters.
ā¢Drawing segmentation masks around the detected objects to visualize the results.