Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-4.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
tags:
|
| 4 |
+
- super-resolution
|
| 5 |
+
---
|
| 6 |
+
# BHI Mini SISR Dataset
|
| 7 |
+
|
| 8 |
+
This is a mini version of my [BHI SISR Dataset](https://huggingface.co/datasets/Phips/BHI), it consist of 4.5k 512x512 png training tiles.
|
| 9 |
+
The focus of this dataset was to extract the high information density and good quality images from the dataset, together with deduplication.
|
| 10 |
+
|
| 11 |
+
This is for training sisr upscaling networks, can be used for small, medium, or even big network because of its information density.
|
| 12 |
+
Though if you are doing paired training with pre-applied randomized degradation, you could use the BHI Small version for better degradation distribution together with a medium or big network.
|
| 13 |
+
For complex pre-applied degradation (many different types and strengths) or diffusion network, probably the standard BHI might give better results.
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|