README.md

---
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: 2877211894.0
    num_examples: 912
  - name: validation
    num_bytes: 333884374.0
    num_examples: 934
  - name: test
    num_bytes: 84190709.0
    num_examples: 194
  download_size: 3290570215
  dataset_size: 3295286977.0
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:

```bibtex
@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},
}
```