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0227ad3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | # 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.
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