Design an algorithm to classify Thai coins into three classes of your choice, e.g., the first class can be ‘One Baht’ coin, the second class can be ‘Ten Baht’ coin, the third class could be ‘Other coins.’
(a) (5 points) State reasons why you select such that three classes. What benefit and applications can be applied from your classification?
(b) (5 points) Show results or pictures from every step. The last results must illustrate each class with different numbers or letters, e.g., ‘1’ for ‘One Baht’ coin, ‘T’ for ‘Ten Baht’ coin, and ‘O’ for other coins superimposed on the object location. You need to test on pictures that include at least 5 coins for each class mixed.
(c) (20 points) Write up your report specify an overall system in details and state reasons why you choose such methods/algorithms/models, show block diagram of your algorithm including your codes with appropriate comments in every function you do.
Hello,
Is it possible to use pre-trained model for this project?
(i.e you will import a pre-trained model to you main python/notebook to classify coins
or you can re-build and train that pre-trained model -- you take the ideal from them and do some minor modification and then use it. It takes time to re-build a model)
Please feel free to discuss!
Best regards,
Hello sir.
Your project attracted my attention at first glance because I've extensive experience in Python scripting, Machine Learning Programming, NLP, AI.
I'm confident about your project and very eager to join your project.
If we have a chance to cooperate, I'll do my best to provide wonderful results.
I am looking forward to your response.
Best Regards.
I will make the classifier of coins using Deep Learning using Tensorflow Framework. I can use the dataset of coins from kaggle or it can be provided to me. I have made many object classifiers ranging from cat and dog classifier , facial emotion recognizer , face recognition system , building-forest-glacier-mountain-sea-street image classifier , iris image classifier. The code will be well commented .