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Gemma 3 4b Pt Object Detection

Developed by ariG23498
A specialized license plate detection model fine-tuned from Gemma 3 4B, demonstrating visual-language models can achieve localization without object detection pre-training
Downloads 133
Release Time : 4/17/2025

Model Overview

This model achieves vehicle license plate detection by fine-tuning the Gemma 3 4B base model, proving visual-language models can perform object detection tasks without prior knowledge of localization markers

Model Features

Zero-shot Object Detection Capability
Achieves localization without object detection pre-training
Efficient Fine-tuning Solution
Parameter-efficient fine-tuning based on Gemma 3 base model
Open-source Reproducibility
Complete code and training pipeline are open-sourced

Model Capabilities

License plate detection in images
Object localization
Visual-language understanding

Use Cases

Intelligent Transportation
Illegal License Plate Recognition
Automatically identifies vehicle license plates in road surveillance
Sample images show accurate bounding boxes for license plates under various angles and lighting conditions
Security Surveillance
Parking Lot Vehicle Management
Automatically recognizes license plate information of incoming/outgoing vehicles
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