data.yaml.template

# YOLOv8 Dataset Configuration Template
# Copy this file to your dataset directory and update paths

# CRITICAL: Use absolute paths, not relative paths
# YOLOv8 will fail with relative paths like './train/images'

# Path to training images
train: /absolute/path/to/your/dataset/train/images

# Path to validation images
val: /absolute/path/to/your/dataset/val/images

# Number of classes
nc: 2

# Class names (must match label files)
names:
  0: drone
  1: IR-Drone

# Example for 4-class dataset:
# nc: 4
# names:
#   0: AirPlane
#   1: Drone
#   2: Helicopter
#   3: IR-Drone

# Notes:
# - Images should be in train/images/ and val/images/
# - Labels should be in train/labels/ and val/labels/
# - Label format: class x_center y_center width height (normalized 0-1)
# - Empty label files are valid (negative samples with no objects)