mlsanityData to 7 Oct 2026

WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation

arXiv 2502.20092 ↗First posted 27 Feb 2025cs.CV cs.AIcited by 0

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Abstract (arXiv)

The UAV technology is gradually maturing and can provide extremely powerful support for smart agriculture and precise monitoring. Currently, there is no dataset related to green walnuts in the field of agricultural computer vision. Thus, in order to promote the algorithm design in the field of agricultural computer vision, we used UAV to collect remote-sensing data from 8 walnut sample plots. Considering that green walnuts are subject to various lighting conditions and occlusion, we constructed a large-scale dataset with a higher-granularity of target features - WalnutData. This dataset contains a total of 30,240 images and 706,208 instances, and there are 4 target categories: being illuminated by frontal light and unoccluded (A1), being backlit and unoccluded (A2), being illuminated by frontal light and occluded (B1), and being backlit and occluded (B2). Subsequently, we evaluated many mainstream algorithms on WalnutData and used these evaluation results as the baseline standard. The dataset and all evaluation results can be obtained at https://github.com/1wuming/WalnutData.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 45 references that are in the map. First posted on arXiv 27 Feb 2025.

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27 of 45 references.

References · 27

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