On the basis of autonomous mobile tea picking robot, aiming at the shortcomings of traditional tea bud identification methods such as slow speed, low accuracy and poor adaptability, as well as people's demand for high-quality tea, the research and experiment of tea bud quality classification recognition based on YOLOv5 were carried out. Through the construction of the autonomous mobile tea picking robot visual recognition system, the data set was constructed, which mainly included tea image acquisition, enhancement and annotation.

Dataset Files

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[1] Heping Hu, Minghui Wu, "Chinese Tea Sprout Dataset", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/06v1-z638. Accessed: Jun. 21, 2024.
doi = {10.21227/06v1-z638},
url = {http://dx.doi.org/10.21227/06v1-z638},
author = {Heping Hu; Minghui Wu },
publisher = {IEEE Dataport},
title = {Chinese Tea Sprout Dataset},
year = {2023} }
T1 - Chinese Tea Sprout Dataset
AU - Heping Hu; Minghui Wu
PY - 2023
PB - IEEE Dataport
UR - 10.21227/06v1-z638
ER -
Heping Hu, Minghui Wu. (2023). Chinese Tea Sprout Dataset. IEEE Dataport. http://dx.doi.org/10.21227/06v1-z638
Heping Hu, Minghui Wu, 2023. Chinese Tea Sprout Dataset. Available at: http://dx.doi.org/10.21227/06v1-z638.
Heping Hu, Minghui Wu. (2023). "Chinese Tea Sprout Dataset." Web.
1. Heping Hu, Minghui Wu. Chinese Tea Sprout Dataset [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/06v1-z638
Heping Hu, Minghui Wu. "Chinese Tea Sprout Dataset." doi: 10.21227/06v1-z638