| | --- |
| | license: cc-by-4.0 |
| | tags: |
| | - super-resolution |
| | --- |
| | # BHI Small SISR Dataset |
| |
|
| | This is a small version of my [BHI SISR Dataset](https://huggingface.co/datasets/Phips/BHI), it consist of 12k 512x512 png training tiles. |
| | The same way as [BHI_mini](https://huggingface.co/datasets/Phips/BHI_mini), the focus of this dataset was to extract the high information density and good quality images from the dataset, together with deduplication. |
| | This dataset contains more training tiles than BHI_mini, which is beneficial for medium and big networks, especially when pre-applying degradations for paired training for better degradation distribution. |
| | For complex pre-applied degradation (many different types and strengths) or diffusion network, probably the standard BHI might give better results. |
| | |
| | <figure> |
| | <img src="https://cdn-uploads.huggingface.co/production/uploads/634e9aa407e669188d3912f9/4971HNTaLFqw_Zbb583hR.webp" alt="BHI Small SISR Dataset Example Tiles"> |
| | <figcaption>BHI Small SISR Dataset Example Tiles"</figcaption> |
| | </figure> |
| | |
| | I provide two LR sets with this, x2 and x4, which have been downsampled with pillow bicubic. In the validation folder I also provide an Urban100 HR, x2 and x4 set which have been downsampled the same way. |
