Lettuce object detection model created by the PhytoOracle project at the University of Arizona. https://github.com/phytooracle/automation.
The model is based on the Faster R-CNN architecture and was trained using the Detecto python library. It was trained on Maricopa Ag Center gantry images at very high-resolution (millimeters). It is trained to use RGB images and put bounding boxes around lettuce plants.
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