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Sponsored by
Vmake Labs Video Enhancer
ariG23498 / gemma-3-4b-pt-object-detection
Model's Last Updated: June 23 2025
object-detection
Introduction of gemma-3-4b-pt-object-detection
Model Details of gemma-3-4b-pt-object-detection
Gemma 3 4B Fine-Tuned for Object Detection
This model is a fine-tuned version of Gemma 3 4B for license plate object detection.
| Detected License Plates (Sample 1) | Detected License Plates (Sample 2) |
|---|---|
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Model Details
Model Description
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.
- Developed by: Aritra Roy Gosthipaty and Sergio Paniego
- Finetuned from model: gemma-3-4b-pt
Model Sources
Uses
Follow these steps to configure, train, and run predictions (using the code repository):
-
Configuration (
config.py): All major parameters are centralized here. Before running any script, review and adjust these settings as needed. -
Training (
train.py): This script handles the fine-tuning process. -
Running inference (
infer.py): Run this to visualize object detection.
Citation
If you use our work, please cite us:
@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}}
}
Runs of ariG23498 gemma-3-4b-pt-object-detection on huggingface.co
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More Information About gemma-3-4b-pt-object-detection huggingface.co Model
Url of gemma-3-4b-pt-object-detection
gemma-3-4b-pt-object-detection huggingface.co Url
Provider of gemma-3-4b-pt-object-detection huggingface.co
Other API from ariG23498
Updated:June 24 2024
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