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PhenoBench is a large UAV image dataset for semantic image interpretation in agriculture, focusing on sugar beet crops and weeds. The dataset was introduced by Weyler et al. in a 2024 IEEE TPAMI paper. This release packages a subset of 2,179 samples from the original PhenoBench as a FiftyOne dataset.
This is a FiftyOne dataset format; users may need the FiftyOne library to interact with it fully.