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01ibm-nasa-geospatial /hls_burn_scarsThis dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.image1K<n<10K27 likes1.9k downloads3y agoHugging Face02HLSS /HSR_Burns HSR_Burn Dataset Dataset Description HSR_Burn is a small-scale validation dataset for burn total body surface area (TBSA) estimation, constructed from four high-resolution human scan models obtained from the HUMAN SCAN Repository. Burn patterns were manually annotated on repaired high-resolution meshes, and frontal and dorsal rendered images with corresponding ground-truth TBSA values are provided. Dataset Structure The dataset is organized into… See the full description on the dataset page: https://huggingface.co/datasets/HLSS/HSR_Burns.imagen<1K0 likes91 downloads2mo agoHugging Face03ibm-nasa-geospatial /burn_intensity Dataset Summary This dataset contains burn scar intensity data and Harmonized Landsat and Sentinel-2 (HLS) images for burn scar analysis across various time frames: pre-burn, during-burn, and post-burn. Each file provides spatial information on burn scar intensity and top-of-atmosphere (TOA) reflectance values. The dataset includes: BS_files_raw.csv: The complete set of burn scar intensity data without filtering. BS_files_with_less_than_25_percent_zeros.csv: Filtered dataset with… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/burn_intensity.image1K<n<10K2 likes86 downloads2y agoHugging Face04burningfeet /pelican-comparison-2026-09-10imagen<1K0 likes82 downloads15d agoHugging Face05mahimairaja /ibm-hls-burn-originalimage1K<n<10K0 likes57 downloads10mo agoHugging Face06munish0838 /crop-burn-detection-raw Crop Burn Detection — Raw Sentinel-2 (India, 2025) Paired RGB + SWIR Sentinel-2 satellite image tiles across agricultural districts of northern India, capturing the paddy (Oct–Nov 2025) and wheat (Mar–May 2025) burning seasons. Built to train and benchmark vision models for real-time crop residue burn detection — including models designed to run directly on satellites. Why We Built This Every October and November, farmers across Punjab, Haryana, Uttar Pradesh, Rajasthan… See the full description on the dataset page: https://huggingface.co/datasets/munish0838/crop-burn-detection-raw.imageimage-classification1K<n<10K1 likes47 downloads5mo agoHugging Face07electricsheepafrica /paediatric-burn-injuries Paediatric Burn Injuries (Scald, Flame, TBSA, Wound Management, Outcomes) | Africa (Electric Sheep Africa metadata inventory) Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/paediatric-burn-injuries.imagetabular-classificationn<1K1 likes33 downloads1mo agoHugging Face08munish0838 /crop-burn-detection-labeled Crop Burn Detection — Labeled Sentinel-2 (India, 2025) Paired RGB + SWIR Sentinel-2 satellite image tiles across agricultural districts of northern India, with per-tile burn annotations. Covers the paddy (Oct–Nov 2025) and wheat (Mar–May 2025) stubble burning seasons across 68 districts. Built to train and benchmark vision models for real-time crop residue burn detection. The raw (unlabeled) version is available as munish0838/crop-burn-detection-raw. Why We Built This… See the full description on the dataset page: https://huggingface.co/datasets/munish0838/crop-burn-detection-labeled.imageimage-classification1K<n<10K1 likes33 downloads5mo agoHugging Face09electricsheepafrica /africa-synth-burns-fire-injury-all Burns & Fire Injury | Africa (World Health Organization) Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Health datasets help researchers examine disease burden… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-burns-fire-injury-all.imagetabular-classificationn<1K0 likes29 downloads1mo agoHugging Face10jfloresf /burn-oefa-cogimagen<1K0 likes22 downloads3y agoHugging Face11mahimairaja /ibm-hls-burn-vectorizedimagequestion-answering1K<n<10K0 likes17 downloads10mo agoHugging Face12weiji14 /hlsfm_burn_scarimagen<1K0 likes15 downloads3y agoHugging Face13KozaMateusz /hls_burn_scarsimage1K<n<10K0 likes12 downloads1y agoHugging Face14adrianrm /wikiart-artist-edward-burne-jonesimagen<1K0 likes10 downloads5mo agoHugging Face15burningfire123 /dreambooth-hackathon-imagesimagen<1K0 likes6 downloads3y agoHugging Face16daaxila /twitter-BurnettDor30803-2025.12.21-2002741812541480987-7mLYAj4n9Sh1_vxx-part1imagen<1K0 likes3 downloads7mo agoHugging Face17cudecanarim /burning-angelimage10K<n<100K0 likes2 downloads1y agoHugging Face18isp-uv-es /hls-burn-scars-taco HLS Burn Scars This is a repackaging, not a new dataset. It is HLS Burn Scars by NASA IMPACT / Clark University (HLS Burn Scars), NASA / USGS HLS, converted to TACO with its data unchanged. All credit belongs to the original authors: if you use it, please cite them and follow their licence. original dataset · paper · licence: CC-BY-4.0 Repackaged into TACO by the Image and Signal Processing Group (ISP), Universitat de València, within the ELLIOT project. Citation… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/hls-burn-scars-taco.imageimage-segmentationn<1K0 likes6h agoHugging Face

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