DF2K Dataset
DF2K Dataset
Datasets
DF2K Dataset
File
DF2K Dataset
Use Case
DF2K Dataset
Description
DF2K dataset for image super-resolution. Includes 3,450 training pairs, 100 validation pairs, and multiple scaling factors for model training.
Description:
The DF2K dataset is a comprehensive collection combining the DIV2K and Flickr2K datasets, designed for high-quality image super-resolution tasks. It features high-resolution images paired with their corresponding low-resolution counterparts. This dataset is ideal for researchers and developers working on image enhancement, particularly for improving upscaling algorithms.
Key Features:
- Training Set: 3,450 high-resolution and low-resolution image pairs.
- Validation Set: 100 image pairs for testing.
- Scaling Factors: Low-resolution images are generated using Bicubic and Unknown methods, with scales of x2, x3, and x4.
Applications:
The DF2K dataset is ideal for:
- Super-resolution model training – Use diverse images to improve your model’s robustness.
- Image enhancement research – Enhance images using advanced deep learning techniques.
- Upscaling algorithms – Develop cutting-edge solutions for clearer, sharper images.
Why Choose the DF2K Dataset?
This dataset is perfect for researchers in computer vision, machine learning, and artificial intelligence, offering reliable data to build and test image super-resolution models.
This dataset is sourced from Kaggle.
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