Few-Shot Object Detection (FSOD)

Faster R-CNN Fine-Tuning Approach
Date: September 3rd, 2025

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Overview

• This project implements Few-Shot Object Detection using Faster R-CNN.
• It fine-tunes the base model and trains the few-shot detection head with support samples.

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Notice

• The provided .ipynb notebook is designed to run on Google Colab.
• Trained model weights are provided via OneDrive links due to GitHub size limits (contained in model_weights.txt file).