GSoC Interest – Contributing to DeepForest

[Bhavya1604]

Dear DeepForest Community,

I hope you're doing well! While exploring GSoC project ideas, I came across two projects listed under weecology/retriever that caught my interest. Since both projects mention DeepForest as the source code, I wanted to dive deeper into this repository and understand how I can contribute effectively.

1. Efficient Detection of Unique Images from Overlapping Images – This project focuses on removing double counting in overlapping images using either the weecology/DoubleCounting or open-forest-observatory/geographer repository. I’d love to understand which repository would be the best starting point and any key areas of the DeepForest codebase I should explore.

2. Developing an Active Learning Module for DeepForest – I’m particularly excited about this because of its potential to improve model training efficiency. I’d like to integrate the BOEM repository’s active learning code into DeepForest and develop a user-friendly image selection interface. Any suggestions on how to approach this would be great.

I’d love to hear your thoughts on:

• How I should get started with each project.
• Which parts of the DeepForest codebase I should focus on.
• Any past contributions or examples that could help.
• Whether it makes sense to build a small proof of concept first before diving into a full integration.

Looking forward to your insights and excited to contribute!

Best regards,
Bhavya Mehta