You should start from the end to do it right at your first attempt. In this article, I would discuss the strategy you need to implement an object detection model successfully at your first attempt.
Computer vision is a popular area of artificial intelligence nowadays. Object detection is a particular task in computer vision. It helps machines to identify a particular set of objects without the help of human eyes. Many applications like — face detection for surveillance in the protected areas, footfall counting in a store, object detection with tracking to estimate the speed of a vehicle, fault detection in a product in the manufacturing industries, etc. — are using object detection techniques.
In different social media, I saw many machine learning enthusiasts are trying out different object detection techniques and sharing their results.
Somehow, I was a bit skeptical about applying these object detection techniques. I had a fair idea of the fundamentals of deep learning algorithms and approaches for general machine learning problems, NLP, and Computer Vision. I worked on some text-based models too. But Computer Vision always repelled me for some unknown reason.
I avoided working on vision-related projects throughout my career. I used to pass it on to my colleagues. But I couldn’t do it for long. A situation arose when I could not avoid it anymore. I had to do some object detection tasks related to a particular context. So I decided to give it a shot.
At first, I was not sure about where to start. I did lots of web searches and readings to find suitable material that can guide me through. I realized that there are lots of articles about object detection, but most of them are not complete. As it was a new field for me and I had a time constraint, I needed detailed guidance about each step of the procedure and I also needed a strategy for quick implementation of the model.
I found some good articles on — Medium, Analytics Vidya, Machine Learning Mastery, etc. But when I was going to implement it, I faced lots of challenges related to system setup and model execution.
I faced different error messages, which I could not understand. It took days to figure out the reasons for such errors. And finally, I understood that you need to make a list of requirements and follow a sequential approach to succeed in this journey.
In this article, I would discuss the strategy you need to implement an object detection model successfully at your first attempt.
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