input_image
image | prompt
string | output_image
image |
|---|---|---|
Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Colorize the image, Region: tropical, Season: spring
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Dataset name
UNIFORM SEN1-2
Year of publication
2025
Author
Shamba Chowdhury Ankana Ghosh Shreyashi Ghosh
License
CC-BY-SA-4.0 The dataset contains Copernicus data (2024). Terms and conditions apply: https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/TC_Sentinel_Data_31072014.pdf
Associated publication
TBA
Links
Dataset: https://www.kaggle.com/datasets/shambac/uniform-sentinel-1-2-dataset Paper: TBA
Dataset structure
- Folders named in the format of 'r_XXX' and CSV files named in the format of 'data_r_XXX.csv'.
- Each folder contains two sub folders named 's1_XXX' and 's2_XXX'.
- s1 folder contains 256x256 grayscale Sentinel 1 images from a particular region and s2 folder contains 256x256 color Sentinel 2 images from the same region.
- Each region folder has an accompanying data csv.
Dataset size
No. of files: 616,148 Storage: 53,699 MB
Description =========== The dataset has images spread uniformly across all over the world with 165 regions and 129,438 pairs of images. Thus the total number of image files in the dataset amounts to 258,876 images. An overview of the selected regions given on the worldmap is given in the figure below.
The information in the CSV files are basically metadata for all the images. The information are:
- Coordinates: Geo-coordinates of the top-left point of the image.
- Country: Name of the country where the image was captured.
- Date-Time: Date and time when the image was captured.
- Resolution Scale: Geospatial resolution of the image.
- Temperature Region: Temperature zone of the region in the image.
- Season: Season in the specific region at the time the image was captured.
Sentinel 1 images have two more attributes to them:
- Operational Mode: It is the operational/acquisition mode of the satellite it used to capture the given image.
- Polarisation: It is the polarisation with which the image was captured.
Sentinel 2 images have one unique attribute:
- Bands: Sentinel 2 images come with multiple different information channels called bands, this attribute contains a list of the bands in the image.
A grid of sample images from the dataset is given below:
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