datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Landslide4sense
Landslide4Sense
Dataset Description
This dataset is originally introduced in GitHub repo Landslide4Sense-2022.
The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
Slope data from ALOS PALSAR: B13.
Digital elevation model (DEM) from ALOS… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/Landslide4sense.landslide-sat-alllandslide-uav-alllandslide-prevention-italy
Pre-Landslide Risk Assessment from Sentinel-2 Imagery
Multi-image vision-language fine-tuning dataset for predicting pre-landslide
risk from Sentinel-2 spectral composites. Each sample contains six 512×512
images (one RGB + five spectral indices) paired with a structured JSON
assessment of slope hazard, human-impact exposure, and pixel-level
areas-of-interest where future failure is most likely.
Generated for fine-tuning LiquidAI/LFM2.5-VL-450M.
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/Sciamlab/landslide-prevention-italy.landslideslandslide-prevention-italy-2024-blind-test
Pre-Landslide Risk Assessment 2024 Blind Test
Blind test dataset for evaluating VLM-based pre-landslide risk detection on 2024
Italian landslide events. This dataset contains 29 events from January–December 2024
with no ground truth labels — designed for evaluating model predictions against
future landslide occurrences.
Generated for evaluating fine-tuned models on LiquidAI/LFM2.5-VL-450M.
Dataset Summary
Total samples
29
Split
test (blind)
Image… See the full description on the dataset page: https://huggingface.co/datasets/Sciamlab/landslide-prevention-italy-2024-blind-test.landslide-uav-satobjectRecognition_LandslidesLandslide4senselandslide-sentinel2-vlmlandslide-sat-all