metadata

license: apache-2.0
size_categories:
  - 10K<n<100K
task_categories:
  - image-classification
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': bouldering_area
            '1': other
    - name: stem
      dtype: string
    - name: suffix
      dtype: string
  splits:
    - name: train
      num_bytes: 2332064084.761
      num_examples: 13679
    - name: test
      num_bytes: 805144625.12
      num_examples: 3880
  download_size: 3137306204
  dataset_size: 3137208709.881
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
tags:
  - bouldering
  - rock climbing
  - Boulderspot

pszemraj/boulderspot

These are aerial images of Switzerland classified into what could be a bouldering area (label: bouldering_area) or not (label: other). The test set has no labels (i.e. the column is None) and is randomly sampled from across the country.

Sources:

data: SWISSIMAGE 10 cm
labels: me

Date created: 2021

You can find some example CNN-based models trained on an earlier/smaller version of this dataset in this repo

If you are a member of an organization interested in details of how this was created/similar ideation related to AI applications for the outdoors/climbing, feel free to contact me (info on my site).

dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype: string
  - name: stem
    dtype: string
  - name: suffix
    dtype: string
  splits:
  - name: train
    num_bytes: 2881884752.62
    num_examples: 13679
  - name: test
    num_bytes: 871464803.08
    num_examples: 3880
  download_size: 3137018901
  dataset_size: 3753349555.7