Deep Learning
RECOVERY-FA19 dataset is established for development and evaluation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides 8 high-resolution ultra-widefield FA images acquired using Optos California P200DTx camera and corresponding labeled binary vessel maps.
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Video dataset of 102 participants for the paper "Learning deep representations for video-based intake gesture detection"
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This dataset is benchmark dataset we use in our research for Intrusion Detection System.
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4855 Views
The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"
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318 Views