metadata
dataset_info:
features:
- name: height
dtype: int64
- name: width
dtype: int64
- name: fold
dtype: string
- name: raster_name
dtype: string
- name: location
dtype: string
- name: image
dtype: image
- name: tile_name
dtype: string
- name: annotations
struct:
- name: bbox
sequence:
sequence: float64
- name: segmentation
dtype: 'null'
- name: area
sequence: float64
- name: iscrowd
sequence: int64
- name: is_rle_format
dtype: 'null'
- name: category
sequence: string
- name: tile_metadata
struct:
- name: crs
dtype: string
- name: transform
sequence: float64
- name: bounds
sequence: float64
- name: width
dtype: int64
- name: height
dtype: int64
- name: count
dtype: int64
- name: dtypes
sequence: string
- name: nodata
dtype: float64
splits:
- name: train
num_bytes: 2877211894
num_examples: 912
- name: validation
num_bytes: 333884374
num_examples: 934
- name: test
num_bytes: 84190709
num_examples: 194
download_size: 3290570215
dataset_size: 3295286977
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: cc-by-4.0
Preprocessed NeonTreeEvaluation Dataset
This version of the NeonTreeEvaluation dataset has been pre-processed for use in our SelvaBox paper.
Citation
If you use this dataset, please cite the original paper too:
@dataset{ben_weinstein_2022_5914554,
author = {Ben Weinstein and Sergio Marconi and Ethan White},
title = {Data for the NeonTreeEvaluation Benchmark},
month = jan,
year = 2022,
publisher = {Zenodo},
version = {0.2.2},
doi = {10.5281/zenodo.5914554},
url = {https://doi.org/10.5281/zenodo.5914554},
}