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Federal
Data from: Avian Sentinels Neural Nest: AI-Powered Bird Monitoring System for Real-Time Detection and Species Identification
Department of Agriculture —
Traditional bird deterrent methods, such as scarecrows, loud noise emitters, and netting, can become less effective over time due to bird habituation. This study... -
Federal
Images and bounding box annotations of sound and rotten cranberry fruit from a postharvest imaging platform
Department of Agriculture —
This data set provides the raw images and bounding box annotations from a postharvest berry imaging platform that was used to train an object detection model.... -
Federal
Images and segmentation annotations of cranberry fruit from a postharvest imaging platform
Department of Agriculture —
This data set provides the raw images and annotations from a postharvest berry imaging platform that was used to train an instance segmentation model. Downstream... -
Federal
Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks
Department of Agriculture —
This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With... -
Federal
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were...