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Data annotation methods: How did you annotate the provided data?
Data augmentation methods: What augmentation methods did you apply to the dataset and why?
Data pre-processing methods: What pre-processing methods did you apply to the dataset and why?
Any other innovative method used at any step of the hackathon. Did it affect the model performance?
Submission
Each team will make one submission through the provided Google Form: https://forms.gle/3hsc368Vc7MccZL3A
A PDF report should be uploaded along with the form submission, ensuring it clearly documents your approach and results. Some key points to include in the report include the methods and techniques outlined in the rubric, model performance, challenges faced, innovative approaches used, and any other aspect relevant to the project.
In addition to the report, teams are required to do a presentation of not more than 5 minutes on Sunday, October 20, summarizing their project. This presentation should highlight key elements such as your approach, challenges, solutions, and final outcomes.
The Google Form requires you to enter: the link to your final trained model, its API key, and the class names that you defined in Roboflow. To obtain these:
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