I want the best model that will gives me best prediction accuracy and detect the brass metal and shorted them out.
Due to the continuously incoming datasets finding the best model that will gives me best performance with different hyperparameter tuning over a time is the critical task.
For finding metal objects in an image, a popular approach is to use a deep learning model, such as a Convolutional Neural Network (CNN), for object detection. Object detection models, such as YOLO (You Only Look Once) or RetinaNet, can be fine-tuned for detecting metal objects by using annotated images of metal objects as training data.
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