# Dataset Structure Guide

This folder contains the structure required for YOLOv8 training.

## What goes where?

1.  **Images**:
    - Put your training images (80% of data) in: `train/images/`
    - Put your validation images (20% of data) in: `val/images/`
    - Supported formats: `.jpg`, `.png`, `.bmp`.

2.  **Labels**:
    - For every image `image1.jpg`, you need a text file `image1.txt` in the corresponding `labels/` folder.
    - Example:
      - `train/images/road_01.jpg`
      - `train/labels/road_01.txt`

3.  **data.yaml**:
    - This file configures the dataset paths and class names.
    - It is the entry point for the training script.

## Label Format

YOLO expects a `.txt` file with one line per object:
`<class_id> <x_center> <y_center> <width> <height>`

- **class_id**: Integer (0, 1, 2...) from `data.yaml`.
- **coordinates**: Normalized between 0 and 1.

Example:
`0 0.5 0.5 0.2 0.4` -> Class 0, centered in the middle, 20% width, 40% height.