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
list:
- name: size
sequence: int64
- name: counts
dtype: string
- name: area
sequence: float64
- name: iscrowd
sequence: int64
- 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: validation
num_bytes: 797545826
num_examples: 331
- name: test
num_bytes: 668515932
num_examples: 311
download_size: 1461836536
dataset_size: 1466061758
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: cc-by-4.0
Preprocessed Detectree2 Dataset
This version of the Detectree2 dataset has been pre-processed for use in our SelvaBox paper.
Citation
If you use this dataset, please cite the original paper too:
@misc{ball_2023_8136161,
author = {Ball, James and Jackson, Tobias and Hickman, Sebastian and Koay, Xian Jing},
title = {Crown Data for ``Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN''},
month = apr,
year = 2023,
publisher = {Zenodo},
version = {v2},
doi = {10.5281/zenodo.8136161},
url = {https://doi.org/10.5281/zenodo.8136161},
}