- The Image Labeller in MATLAB app allows you to label ground truth data in a collection of images. Refer to the following MathWorks documentation link for more information on image labeller app: https://www.mathworks.com/help/vision/ref/imagelabeler-app.html
- Precision measures the accuracy of positive predictions, while recall measures the ability of the model to find all relevant instances. The "precisionRecall" function in MATLAB gets precision and recall metrics of object detection results. https://www.mathworks.com/help/vision/ref/objectdetectionmetrics.precisionrecall.html
- Computer vision models based on thresholding and morphological operations typically do not require training in the same way that machine learning or deep learning models do. They rely on manually set parameters such as threshold values, structuring element shapes, and sizes. Experiment with different parameters to optimize the model's performance.
Hope that helps!
