Starting with images in data/images develop a machine learning code base (in code directory) that could be used to count the number of oysters in photographs. The 8 images in the data/images have number after "-" that indicate the actual number of oysters in the image. Optimize the model based on this and offer a plan to move forward to add more images with know oysters counts to improve the algorithm. Do all of this develop in a subdirectory in the code directory named count-automation. Create a readme in this directory that describes the procedure as well as a section that records all changes in the codebase with time stamps.
Starting with images in data/images develop a machine learning code base (in code directory) that could be used to count the number of oysters in photographs. The 8 images in the data/images have number after "-" that indicate the actual number of oysters in the image. Optimize the model based on this and offer a plan to move forward to add more images with know oysters counts to improve the algorithm. Do all of this develop in a subdirectory in the code directory named
count-automation. Create a readme in this directory that describes the procedure as well as a section that records all changes in the codebase with time stamps.