Sign inGet started
Dataset · Hugging Face

swaib/Multimodal_Monsoon_Indian_Dataset

Multimodal Monsoon Indian Dataset (1 km) Overview The Multimodal Monsoon Indian Dataset is a curated, high-resolution (≈1 km) Earth-observation dataset designed for monsoon precipitation classification and analysis across Indian states. The dataset integrates satellite imagery, climate reanalysis variables, and static geospatial features into a unified, state-wise structure suitable for multimodal deep learning. This repository contains raw exported artifacts… See the full description on the dataset page: https://huggingface.co/datasets/swaib/Multimodal_Monsoon_Indian_Dataset.

Author / organizationswaib
License (as declared)mit
Downloads146 (as reported by Hugging Face)
Likes0
Created9 February 2026
Last updated at source9 February 2026
climatemonsoonprecipitationearth-observationsatelliteera5nowcasting
Embed this entry
<iframe src="https://silytics.si/embed/item/bb44a358-0a73-4d53-8711-d1fcb8363e3a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

146 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: Multimodal Monsoon Indian Dataset (1 km) Overview The Multimodal Monsoon Indian Dataset is a curated, high-resolution (≈1 km) Earth-observation dataset designed for monsoon precipitation classification and analysis across Indian states. The → Multimodal Monsoon Indian Dataset (1 km) Overview The Multimodal Monsoon Indian Dataset is a curated, high-resolution (≈1 km) Earth-observation dataset designed for monsoon precipitation classification and analysis across Indian states. The

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.