Please solve accordingly thank you

Use of computer machine and vision to create surgical instrument datasets Objectives: To Choose an appropriate method to perform and solve image processing or computer vision problem at hand and predict the outcome of the applied processing Materials: PC with image processing libraries and python programming tools. Introduction: Image processing is the process of transforming an image into a digital form and performing certain operations to get some useful information from it. The image processing system usually treats all images as 2D signals when applying certain predetermined signal processing methods. This lab is mainly introducing student on basic component and principle of the image processing or computer vision in creating and visualizing an image dataset. Students shall collect the related surgical instrument datasets and use the python code to manipulate the data. As shown in Figure 1, Dataset preparation is the first step in ML experiment. Figure 1: Sample flow of Machine Learning Experiment. Dataset preparation is the first step in ML experiment. Experimental Procedure 1) Students can collect related surgical instrument datasets from online resources as well as physically capture the images manually. 2) Use python image libraries to store the data in one dataset file. 3) Use python image libraries to label the dataset. 4) Use python image libraries to visualise random image from the dataset. 5) Create documentation file on how to use and visualize the dataset for any machine learning experiments. You may illustrate the steps with a suitable flowchart or flow diagram. 6) Write a python code that can split the image datasets into Training, Cross-Validation and Testing Set with the composition of 60%,25% and 15% respectively. Use of computer machine and vision to create surgical instrument datasets Objectives: To Choose an appropriate method to perform and solve image processing or computer vision problem at hand and predict the outcome of the applied processing Materials: PC with image processing libraries and python programming tools. Introduction: Image processing is the process of transforming an image into a digital form and performing certain operations to get some useful information from it. The image processing system usually treats all images as 2D signals when applying certain predetermined signal processing methods. This lab is mainly introducing student on basic component and principle of the image processing or computer vision in creating and visualizing an image dataset. Students shall collect the related surgical instrument datasets and use the python code to manipulate the data. As shown in Figure 1, Dataset preparation is the first step in ML experiment. Figure 1: Sample flow of Machine Learning Experiment. Dataset preparation is the first step in ML experiment. Experimental Procedure 1) Students can collect related surgical instrument datasets from online resources as well as physically capture the images manually. 2) Use python image libraries to store the data in one dataset file. 3) Use python image libraries to label the dataset. 4) Use python image libraries to visualise random image from the dataset. 5) Create documentation file on how to use and visualize the dataset for any machine learning experiments. You may illustrate the steps with a suitable flowchart or flow diagram. 6) Write a python code that can split the image datasets into Training, Cross-Validation and Testing Set with the composition of 60%,25% and 15% respectively