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--- |
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license: creativeml-openrail-m |
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tags: |
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- fire |
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- havoc |
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- eindhoven |
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- stable diffusion |
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- fine-tuning |
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pretty_name: Havoc after the Fire at Philips LAC Eindhoven |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- unconditional-image-generation |
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language: |
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- en |
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--- |
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# Image Dataset Havoc after the Fire at Philips LAC Eindhoven |
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## Dataset Description |
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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. |
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## Dataset Structure |
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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. |
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| Description | Value | |
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|---------------------------------------------------------|----------------------| |
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| Number of Images | 1167 | |
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| Purpose | Fine-tuning / Training Stable Diffusion model | |
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| Image Processing | Original image five-cropped (all corners and center) with added 1-8 random detail crops per original | |
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| Flipped Images | Approximately 30% | |
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| Resolutions | Hand picked 1024x1024, 768x1024, 1024x768 | |
