Datasets:
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.
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 |