Hi everyone, I am working on a project that involves machine learning and computer vision. I want to train a model that can recognize and classify different types of signals used by the Indian railways. For this, I need a large and diverse image dataset of railway signals from various locations, angles, lighting conditions, etc.
I have searched online for existing datasets, but I could not find any that suit my needs. So I wish to create my own dataset from scratch. However, I am not sure how to go about it. What are the best practices and tools for creating an image dataset? How do I collect, label, and organize the images? How do I ensure the quality and consistency of the data?
submitted by /u/Responsible-Diver226
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