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In this series of tutorials, we’ll walk you through how you can leverage ready-to go -use models that we trained for detecting and counting grape flower clusters.

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Model Name/Version

Description

nighttime-grape-flower-clusters/1

Our most accurate model. Trained using nighttime images and therefore must be used with nighttime footage and imagery.

grape-flower-clusters/1011

A less accurate but improving model geared toward daytime and nighttime images of grape flower clusters. Important: This model was trained on 2x2 tiles. This means you’ll want to split your images into 4 tiles and run tiled inference. We give you a simple setting for this in myEV.

Guide Sections

Page Tree
root@self
startDepth1

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