In this series of tutorials, we’ll walk you through how you can leverage ready to go models that we trained for detecting and counting grape flower clusters.
Our pre-trained Cluster Counting Models
In the table below, we provide relevant details for the computer vision models we have created
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/10 | 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