Bullet impact images dataset on different materials for forensic ballistics applications

<p>Description of the project.
This project aims to advance the field of forensic ballistics by creating a large, controlled dataset
of bullet impact images to train deep learning models for automatic trajectory reconstruction. The dataset
was generated in collaboration with the Criminalistics Service of the Spanish Civil Guard to ensure
real-world relevance and accuracy. Without this collaboration, this dataset would not have been possible.</p>

<p>Description of the dataset.
The dataset consists of 1,800 high-resolution images (in PNG format) of bullet impact holes, captured under
controlled laboratory conditions. It covers six drift angles (15°, 30°, 45°, 60°, 75°, 90°) on two common
building materials, frequently encountered in forensic investigations: particleboard and drywall. Each angle
category contains 300 images, equally split between the two materials (150 images for particleboard and 150
images for drywall).</p>