submission: Example NeonTreeEvaluation submission

In weecology/NeonTreeEvaluation_package: Evaluate Individual Tree Segmentation Algorithms against Benchmark Data

Example NeonTreeEvaluation submission

Description

This submission was generated using the DeepForest python package https://deepforest.readthedocs.io/.

Usage

submission

Format

An object of class data.frame with 126574 rows and 7 columns.

Details

To reproduce this submission see https://github.com/weecology/NEON_crown_maps/blob/master/create_submission.py The bounding box coordinates in this submission are in the image-coordinate system and need project=T to be converted into geographic coordinates (utm) The score and label field are not required and are not currently used in this iteration of the benchmark.

• xmin left bounding box coordinate

• ymin bottom bounding box coordinate

• xmax right bounding box coordinate

• ymax top bounding box coorinate

• score confidence score given by the deep learning algorithm

• label Currently all "tree" category

• plot_name Name of the NEON plot, this is used to connect the prediction to the sensor data

weecology/NeonTreeEvaluation_package documentation built on Aug. 27, 2024, 10:53 a.m.