Questions 5 Image Classification Problems
The folder contains 11 subfolders of different hand sign images namely a,b,c,d,e,i,m,n,s,x, and y.
Use the image data in the directory to train a machine-learning hand sign classifier and a neutral networker hand sign classifier. Both the model’s test data F1 score must be at least 0.9.
Screen capture the result and include it in the submission document ( 2 marks)
Suggest another performance metric to measure the performance of the 2 trained models. Show the result of the performance metric and use it to explain the model’s performance. Suggest reason that contributed to the result(The result must be clearly included in the submission document)
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