five

"NCUTT"

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DataCite Commons2026-05-07 更新2026-05-19 收录
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https://ieee-dataport.org/documents/ncutt
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资源简介:
"Dataset Summary: Table Tennis Tracking & DetectionThis dataset consists of six video sequences partitioned for training and validation.1. Data PartitioningValidation Set: Videos C0024 and C0035 are reserved to test the models' performance on unseen data.Training Set: The remaining four videos are used for model optimization.2. Directory StructureEach video in the training set is housed in its own directory, containing three specialized subfolders:FolderContents & Purposeclip+imageContains the raw video clip and all individual extracted frames. This serves as the primary data source.seriesContains sequential labeling specifically formatted for TrackNet. This allows the model to learn the ball's movement across a series of frames.yolo trainingFollows the standard YOLO architecture with train, val, and test sub-directories. This is used to train the model to identify the ball within a single static frame. "
提供机构:
IEEE DataPort
创建时间:
2026-05-07
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