Student Internship 2025: New Submission System Development

As part of our research, we organise an annual challenge in computer vision to help Diabetic Foot Ulcers. This year, we are introducing two new classification tracks and implementing a new submission system, codalab.org. To assist new participants, we aim to provide baseline scripts to process the challenge's data and generate the leaderboard system's outputs. Usually, we are hosted by the MICCAI conference, which is internationally recognised and is a leading medical image analysis research conference.  This year, we will look into new venues to expand the challenge cohort, possibly CVPR and ECCV. This experience will be invaluable for students aspiring to pursue a research-based career, exposing them to the field of research. Students interested in applying should have an AI or programming-related background and submit an active GitHub repository showcasing their coding skills in AI systems. 

Week 1: Planning and Setup  o Define Objectives: Clearly outline the objectives for the baseline scripts and new submission system. o Identify Requirements: Determine the necessary tools, libraries, and resources required for development. o Set Milestones: Establish key milestones and deadlines for each phase of the project.  o Environment Setup: Configure development environments.
Week 2: Data Preparation  o Data Collection: Gather and organize the data required for the challenge. o Data Cleaning: Clean and preprocess the data to ensure quality and consistency.  o Data Formatting: If necessary, format the data for the new classification tracks. 
Week 3: Baseline Script Development  o Initial Implementation: Develop initial baseline scripts to process the data. o Model Selection: Choose suitable AI models for the classification tasks. o Training Scripts: Create scripts to train the models on the provided data.  o Evaluation Metrics: Define evaluation metrics to assess model performance. 
Week 4: Model Training and Evaluation  o Train Models: Train the selected models using the baseline scripts. o Evaluate Models: Evaluate the models' performance using the defined metrics. o Optimization: Optimize the models for better accuracy and efficiency.  o Documentation: Document the baseline scripts and models for participant reference. 
Week 5: Submission System Integration  o Setup CodaLab: Configure the new submission system on codalab.org. o Integration: Integrate the baseline scripts with the submission system. o Testing: Test the submission system to ensure it correctly processes and evaluates submissions.  o Feedback: Gather feedback from the team to identify and resolve any issues. 
Week 6: Finalization and Testing  o Refinement: Refine the baseline scripts and submission system based on feedback. o Testing: Conduct comprehensive testing to ensure everything works seamlessly. o Bug Fixing: Identify and fix any bugs or issues discovered during testing.  o User Guide: Create a user guide to help participants understand how to use the baseline scripts and submission system. 
Week 7: Review and Quality Assurance  o Peer Review: Conduct peer reviews to ensure code quality and adherence to best practices. o Quality Assurance: Perform thorough quality assurance testing to verify the system's reliability. o Final Adjustments: Make final adjustments based on review and testing feedback.  o Prepare Announcement: Draft the submission instructions for the challenge, including instructions for participants. 
Week 8: Launch and Support  o Launch: Create a launch document for the challenge with the new classification tracks and submission system. o Participant Support: Create support documents.  o Monitor System: Monitor the submission system to ensure smooth operation.