A Mycelium Dataset with Edge-Precise Annotation for Semantic Segmentation
Yuan, Qianguang; Liu, Weizhen; Liu, Yunfei; Li, Pin; Liu, Yuxuan; Yuan, Xiaohui; Dong, Nanqing; +2 Authors
Yuan, Qianguang; Liu, Weizhen; Liu, Yunfei; Li, Pin; Liu, Yuxuan; Yuan, Xiaohui; Dong, Nanqing; Xiong, Shengwu; Fu, Yongping;
A Mycelium Dataset with Edge-Precise Annotation for Semantic Segmentation
This dataset not only offers precise edge segmentation annotations but also establishes a foundational resource for models aimed at enhancing the accuracy of segmentation capabilities related to mycelium edge morphology, thereby serving as a valuable asset in the realms of computer vision and mycology.MyceliumSeg is the first publicly available mycelium segmentation dataset with precise edge annotations, filling a critical gap in this research area.
- Shanghai Artificial Intelligence Laboratory China (People's Republic of)
- Wuhan College China (People's Republic of)
- Jilin Agricultural University China (People's Republic of)
- Wuhan University of Technology China (People's Republic of)
Mycelium, Computer vision
Mycelium, Computer vision
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selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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