task_categories:unconditional-image-generation size_categories:1K<n<10K language:en license:creativeml-openrail-m fire havoc eindhoven stable diffusion fine-tuning region:us
---
license: creativeml-openrail-m
tags:
- fire
- havoc
- eindhoven
- stable diffusion
- fine-tuning
pretty_name: Havoc after the Fire at Philips LAC Eindhoven
size_categories:
- 1K<n<10K
task_categories:
- unconditional-image-generation
language:
- en
---
# Image Dataset Havoc after the Fire at Philips LAC Eindhoven

## Dataset Description

A large fire in the center of Eindhoven, May 14th, 2023. The old Philips Lighting Application Centre was engulfed in flames, resulting in massive smoke clouds. Over a hundred firefighters were deployed, and there was significant disruption in the city center. This is a dataset containing images of the remains of the building two months later. The footage was taken on July 19, 2023.

![](havoc-philips-lac-eindhoven.png)

## Dataset Structure

The dataset consists of 1167 images depicting the aftermath of the fire havoc. It is primarily designed for fine-tuning or training a Stable Diffusion model, although it can be used for other purposes as well. Each original image is divided into five cropped versions with between 2 to 8 additional random detail crops. Approximately 30 percent of the images are flipped horizontally. All images in the dataset have been resized to either 1024 x 1024, 768 x 1024, or 1024 x 768 resolution.

| Description                                             | Value                |
|---------------------------------------------------------|----------------------|
| Number of Images                                        | 1167                 |
| Purpose                                                 | Fine-tuning / Training Stable Diffusion model |
| Image Processing                                       | Original image five-cropped (all corners and center) with added 1-8 random detail crops per original |
| Flipped Images                                          | Approximately 30%   |
| Resolutions                                             | Hand picked 1024x1024, 768x1024, 1024x768 |