Explains how one can develop their custom object detection model rather fairly quickly. I also highlighted potential errors one can make while training their own model.
Lists out some common and some not-so-common strategies for improving accuracy of an image classifier. Many of the discussed methods are general in nature, meaning they are applicable to tasks other than just image classification.