finetune_dataset_info.md

# Fine-tuning Dataset Information

## Overview
This directory contains the fine-tuning dataset used to improve the YOLOv8m model's performance on truck and bus detection.

## Dataset Statistics
- **Total Images**: 92
- **Total Objects**: 2,277
- **Classes**: 8 vehicle types

## Class Distribution
- **bus**: 57 objects
- **car**: 1,900 objects  
- **lcv**: 188 objects
- **multiaxle**: 10 objects
- **truck**: 121 objects

## File Structure
```
finetune_dataset/
├── images/           # 92 training images
├── labels/           # 92 corresponding label files
├── README.dataset.txt # Dataset metadata
└── README.roboflow.txt # Roboflow export information
```

## Usage
This dataset was used for Stage 2 fine-tuning to address the truck/motorcycle misclassification issue found in Stage 1 training.

## Format
- **Images**: JPG format
- **Labels**: YOLO format (.txt files)
- **Annotations**: Bounding boxes with class IDs

## Quality
All images are high-quality highway traffic scenes with clear vehicle visibility and proper annotations.