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ariG23498
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Model Details
Model Provider
ariG23498
Model Tree
google/gemma-3-4b-pt
Input Modalities
Output Modalities
Supported Functionality
This model aims to prove that VLMs NOT previously trained for object detection and without previous knowledge of location tokens (<locXXXX>) can still be fine tuned for object detection out of the box. This is an experimental model.
Follow these steps to configure, train, and run predictions (using the code repository):
config.py): All major parameters are centralized here. Before running any script, review and adjust these settings as needed.train.py): This script handles the fine-tuning process.infer.py): Run this to visualize object detection.If you use our work, please cite us:
markdown
@misc{gosthipaty_gemma3_object_detection_2025,author = {Aritra Roy Gosthipaty and Sergio Paniego},title = {Fine-tuning Gemma 3 for Object Detection},year = {2025},publisher = {GitHub},journal = {GitHub repository},howpublished = {\url{https://github.com/ariG23498/gemma3-object-detection.git}}}