---
license: cc-by-4.0
tags:
- super-resolution
pretty_name: DF2K_BHI
size_categories:
- 1K<n<10K
---
# DF2K_BHI SISR Dataset

This is a filtered version of the DF2K dataset, specifically aimed for single image super-resolution model training.  
It is a result, or is one of the testing sets, for [my huggingface community blog post on my BHI-Filtering method](https://huggingface.co/blog/Phips/bhi-filtering).

[TODO CHECK IF THIS IS IC>=0.4 or IC>= 0.5; it is 6'620 tiles currently]

## Dataset Details

This is based on the DF2K dataset, which consists of X images.

These images then have been tiled into X 512x512px tiles for faster sisr I/O training speed.

The BHI filtering has been applied with the following default threshold values:

Blockiness < 30  
HyperIQA >= 0.2  
IC9600 >= 0.4  

Which results in this DF2K_BHI dataset with X 512x512 training tiles.

## Visualization

Here is a visual example of the first few tiles that are in the dataset:


[TODO PUT AN IMAGE HERE THAT SHOWS SOME TILES OF THE DATASET]

## Training

Here is the training validation metrics on the DIV2K validation dataset, using the plksr_tiny architecture option, in comparison to the tiled full DF2K dataset:

Tiled DF2K dataset (here called X): X tiles
DF2K_BHI dataset: X tiles

[TODO PUT IMAGES HERE OF TENSORBOARD METRICS OF ONLY TILED DF2K AND DF2K_BHI]