Datasets:
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README.md
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path: data/train-*
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- split: test
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path: data/test-*
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---
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# pszemraj/boulderspot
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```yml
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dataset_info:
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features:
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num_examples: 3880
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download_size: 3137018901
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dataset_size: 3753349555.7
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```
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path: data/train-*
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- split: test
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path: data/test-*
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license: apache-2.0
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task_categories:
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- image-classification
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tags:
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- bouldering
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- rock climbing
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size_categories:
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- 10K<n<100K
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---
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# pszemraj/boulderspot
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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.
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Sources:
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- data: Swiss TLM3d
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- labels: me
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You can find some example CNN-based models trained on an earlier/smaller version of this dataset in [this repo](https://github.com/pszemraj/BoulderAreaDetector)
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```yml
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dataset_info:
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features:
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num_examples: 3880
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download_size: 3137018901
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dataset_size: 3753349555.7
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```
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