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Datasets/MEDIC

MEDIC

ImagesCC BY-NC-SA 4.0Introduced 2021-08-29

MEDIC is a large social media image classification dataset for humanitarian response consisting of 71,198 images to address four different tasks in a multi-task learning setup. It consists data from several data sources such as CrisisMMD, data from AIDR and Damage Multimodal Dataset (DMD).

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Medical Abstracts/Classification/F1-scoreMedical Abstracts/Text Classification/F1-scoreMedical Cost Personal Dataset/regression/R2 ScoreMedical Cost Personal Dataset/regression/lambdaMedical Segmentation Decathlon/Medical Image Segmentation/Dice (Average)Medical Segmentation Decathlon/Medical Image Segmentation/NSDMedical domain/Hypernym Discovery/MAPMedical domain/Hypernym Discovery/MRRMedical domain/Hypernym Discovery/P@5Medical domain/Taxonomy Learning/MAPMedical domain/Taxonomy Learning/MRRMedical domain/Taxonomy Learning/P@5Medico automatic polyp segmentation challenge (dataset)/Medical Image Segmentation/DSCMedico automatic polyp segmentation challenge (dataset)/Medical Image Segmentation/FPSMedico automatic polyp segmentation challenge (dataset)/Medical Image Segmentation/PrecisionMedico automatic polyp segmentation challenge (dataset)/Medical Image Segmentation/RecallMedico automatic polyp segmentation challenge (dataset)/Medical Image Segmentation/mIoU

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Disaster Response