Technical Name Automatic Labeling Tool for Deep Learning Samples-ezLabel
Project Operator National Chiao Tung University
Project Host 郭峻因
Summary
ezLabel features automatic route predictionfitting algorithm, which significantly reduces the time needed to label manuallyensure the quality of the samples. It is an online platform opening to everyone worldwide. Through ezLabel, we are able to own massive valuable sample datasetprovide clients fastcustomized dataset.
Scientific Breakthrough
"1.Unique route prediction facilitates users to label target object in only two frames instead of labeling in all frames.
2.Fitting not only speeds up the labeling process, but also guarantees the quality of labeled data."
Industrial Applicability
This idea gain the third awardthe chance to go to Audi headquarter for POC in Audi Innovation Award. ezLabel as the basis of developing deep-learning-based video function tool is able to speed upguarantee the quality of labeled data. It can be widely applied in several applications, e.g., ADAS, autonomous car, surveillance.
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