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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01Kingdrone-Junjue /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Kingdrone-Junjue/DisasterM3.imagevisual-question-answering10K<n<100K23 likes3.4k downloads4mo agoHugging Face02Patency /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Patency/DisasterM3.imagevisual-question-answering10K<n<100K0 likes673 downloads1mo agoHugging Face03Patty101 /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Patty101/DisasterM3.imagevisual-question-answering10K<n<100K0 likes211 downloads4mo agoHugging Face04hqaaaaaaa /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/hqaaaaaaa/DisasterM3.imagevisual-question-answering10K<n<100K0 likes40 downloads3mo agoHugging Face05abalhomaid /disaster-damage-assessment Disaster Damage Assessment Dataset Binary damage classification dataset (damage vs. no damage) across 4 natural disaster domains, used in: Unsupervised Domain Adaptation for Rapid Disaster Damage Assessment Dataset Structure Domain Code Event Images Ecuador Earthquake E 2016 1,724 Nepal Earthquake N 2015 19,104 Hurricane Matthew M 2016 333 Typhoon Ruby R 2014 833 Total: 21,994 images across 4 domains. Columns: image: PIL Image label: 0 =… See the full description on the dataset page: https://huggingface.co/datasets/abalhomaid/disaster-damage-assessment.imageimage-classification10K<n<100K1 likes29 downloads6mo agoHugging Face06CyberAltais /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across 5… See the full description on the dataset page: https://huggingface.co/datasets/CyberAltais/DisasterM3.imagevisual-question-answering10K<n<100K0 likes27 downloads4mo agoHugging Face07xn67744 /Disaster_Recognition_RemoteSense_EN_CN_JA xView2 Multi-Language Disaster Recognition Dataset This dataset is derived from the xBD (xView2) Building Damage Assessment Dataset and has been reformatted for Vision-Language Model (VLM) training with multi-language support. 📊 Dataset Overview This dataset contains satellite imagery paired with multi-language conversational annotations for disaster recognition tasks. It supports three languages: English, Chinese (中文), and Japanese (日本語). Dataset Splits… See the full description on the dataset page: https://huggingface.co/datasets/xn67744/Disaster_Recognition_RemoteSense_EN_CN_JA.geospatialvisual-question-answering10K<n<100K0 likes25 downloads9mo agoHugging Face08Harini1617 /Crop-Flood-Disaster-Classification-Dataset Crop Flood Disaster Classification Dataset The current agricultural industry faces challenges of frequent flood disasters, making it difficult to quickly assess crop damage, affecting the stability of agricultural production and supply chains. Existing solutions largely rely on manual assessments which are inefficient and highly subjective, failing to meet the need for rapid response. This dataset aims to help AI models quickly assess damage by providing images of crops with… See the full description on the dataset page: https://huggingface.co/datasets/Harini1617/Crop-Flood-Disaster-Classification-Dataset.textimage-classificationn<1K0 likes24 downloads1mo agoHugging Face09ly-ai /Disaster_Recognition_RemoteSense_EN_CN_JA xView2 Multi-Language Disaster Recognition Dataset This dataset is derived from the xBD (xView2) Building Damage Assessment Dataset and has been reformatted for Vision-Language Model (VLM) training with multi-language support. 📊 Dataset Overview This dataset contains satellite imagery paired with multi-language conversational annotations for disaster recognition tasks. It supports three languages: English, Chinese (中文), and Japanese (日本語). Dataset Splits… See the full description on the dataset page: https://huggingface.co/datasets/ly-ai/Disaster_Recognition_RemoteSense_EN_CN_JA.geospatialvisual-question-answering10K<n<100K0 likes21 downloads7mo agoHugging Face10ckyrkou /disaster36k_fold4 UAVDisaster36K Dataset Overview UAVDisaster36K is a large-scale aerial image dataset for disaster recognition collected from UAVs, drones, and other low-altitude aerial platforms. The dataset contains images of disaster and non-disaster scenarios across four categories: Earthquake Flood Fire Normal The dataset was created to support research in aerial image classification, disaster monitoring, emergency response, and efficient deep learning models for UAV… See the full description on the dataset page: https://huggingface.co/datasets/ckyrkou/disaster36k_fold4.image-classification10K<n<100K0 likes21 downloads1mo agoHugging Face11WayBob /Disaster_Recognition_RemoteSense_EN_CN_JA xView2 Multi-Language Disaster Recognition Dataset This dataset is derived from the xBD (xView2) Building Damage Assessment Dataset and has been reformatted for Vision-Language Model (VLM) training with multi-language support. 📊 Dataset Overview This dataset contains satellite imagery paired with multi-language conversational annotations for disaster recognition tasks. It supports three languages: English, Chinese (中文), and Japanese (日本語). Dataset Splits… See the full description on the dataset page: https://huggingface.co/datasets/WayBob/Disaster_Recognition_RemoteSense_EN_CN_JA.geospatialvisual-question-answering10K<n<100K0 likes19 downloads9mo agoHugging Face12Vane3RS /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Vane3RS/DisasterM3.imagevisual-question-answering1B<n<10B1 likes19 downloads8mo agoHugging Face13Xunlun /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Xunlun/DisasterM3.imagevisual-question-answering10K<n<100K0 likes15 downloads9mo agoHugging Face14Mobiusi /Crop-Flood-Disaster-Classification-Dataset Crop Flood Disaster Classification Dataset The current agricultural industry faces challenges of frequent flood disasters, making it difficult to quickly assess crop damage, affecting the stability of agricultural production and supply chains. Existing solutions largely rely on manual assessments which are inefficient and highly subjective, failing to meet the need for rapid response. This dataset aims to help AI models quickly assess damage by providing images of crops with varying… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Crop-Flood-Disaster-Classification-Dataset.textimage-classificationn<1K0 likes14 downloads7mo agoHugging Face15Pandamx /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Pandamx/DisasterM3.imagevisual-question-answering10K<n<100K0 likes13 downloads9mo agoHugging Face16o-yas /Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking DTCD-AFC: Disaster-Type Classification Dataset for Automated Fact-Checking Overview The DTCD-AFC is a dataset designed for disaster-type classification evaluation for automated fact-checking. It consists of multimodal social media posts collected based on past natural disasters, each labeled with the disaster type to which its content relates. The social media posts are sourced from CrisisMMD. Files disaster_type_classification_dataset_for_afc.csv: The CSV… See the full description on the dataset page: https://huggingface.co/datasets/o-yas/Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking.texttext-classification10K<n<100K0 likes12 downloads4mo agoHugging Face17yufaxia /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/yufaxia/DisasterM3.imagevisual-question-answering10K<n<100K0 likes5 downloads7mo agoHugging Face18Ling200424 /DisasterM3 DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song Junshi Xia, Zhuo Zheng, Naoto Yokoya† * Equal Contributions † Corresponding Author Paper: https://arxiv.org/abs/2505.21089 Code: https://github.com/Junjue-Wang/DisasterM3 Highlights DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Ling200424/DisasterM3.imagevisual-question-answering1B<n<10B0 likes5 downloads7mo agoHugging Face

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