2024
DOI: 10.34133/plantphenomics.0135
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DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling

Wenli Zhang,
Chao Zheng,
Chenhuizi Wang
et al.

Abstract: Recently, deep learning-based fruit detection applications have been widely used in the modern fruit industry; however, the training data labeling process remains a time-consuming and labor-intensive process. Auto labeling can provide a convenient and efficient data source for constructing smart orchards based on deep-learning technology. In our previous study, based on a labeled source domain fruit dataset, we used a generative adversarial network and a fruit detection model to achieve auto labeling of unlabe… Show more

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