Full description
1. Multi-spectral super-resolution dataset (extension to PIRM2018 multi-spectral super-resolution challenge dataset).The dataset includes
- 272 training stereo registered multi-spectral RGB image pairs including the original RGB mosaic images.
- 970 raw multi-spectral images. These need to be downsampled (x2 or x3 etc.) to create low-resolution images for training a CNN for the task of super-resolution.
- 50 test images.
2. Dataset for simultaneous colour-prediction and super-resolution.
This dataset includes:
- 250 registered stereo multi-spectral/RGB image pairs for training
- 25 registered stereo multi-spectral/RGB image pairs for validation
- 21 registered stereo multi-spectral/RGB image pairs for testing.
Lineage: 1. Images in the multi-spectral super-resolution dataset are in .tiff format.
2. Images in the colour-prediction dataset are in .tiff (RGB) and .mat (multi-spectral) formats. Converting .mat to .npy can accelerate training. See https://arxiv.org/pdf/1909.02221.pdf for more information on multi-spectral data format.
Available: 2020-01-10
Data time period: 2017-01-01 to 2018-01-01
Subjects
Computer Vision |
Computer Vision and Multimedia Computation |
Information and Computing Sciences |
Image Processing |
Machine Learning |
Machine Learning Not Elsewhere Classified |
Multi-spectral |
RGB |
SR |
Super-resolution |
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Identifiers
- DOI : 10.25919/5E17C1F7928D7
- Handle : 102.100.100/212863
- URL : data.csiro.au/collection/csiro:40743
