AgriVision: A Benchmark Dataset for Advancing Real-World Robotic Vision in Densely Fruited Blueberry Crop
收藏DataCite Commons2025-12-30 更新2026-02-09 收录
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https://springernature.figshare.com/articles/dataset/AgriVision_A_Benchmark_Dataset_for_Advancing_Real-World_Robotic_Vision_in_Densely_Fruited_Blueberry_Crop/29222462/1
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资源简介：
We introduce a comprehensive large-scale dataset repository for dense blueberry crop analysis, comprising three subsets aimed at advancing learning paradigms in this domain: DB-1) 1,195 fully annotated high-resolution images for supervised learning, DB-2) 141K frames from 520 videos for weakly/semi-supervised learning, and DB-3) 10K synthetic images with annotations, generated via our proposed data realization algorithm that mimics real-field complexity by offering a scalable, cost-effective foundation for dense crop annotation and robust model generalization.
提供机构：
figshare
创建时间：
2025-12-30
