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--- |
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annotations_creators: |
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- expert-generated |
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- machine-generated |
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language: |
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- en |
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language_creators: [] |
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license: |
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- mit |
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multilinguality: [] |
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paperswithcode_id: acronym-identification |
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pretty_name: Nailbiting Classification |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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tags: |
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- nailbiting |
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- image |
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- preprocesses |
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task_categories: |
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- image-classification |
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task_ids: [] |
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train-eval-index: |
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- col_mapping: |
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labels: tags |
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tokens: tokens |
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config: default |
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splits: |
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eval_split: test |
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task: token-classification |
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task_id: entity_extraction |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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|
- name: label |
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dtype: |
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class_label: |
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names: |
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'0': biting |
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'1': no_biting |
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|
splits: |
|
|
- name: train |
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|
num_bytes: 11965731.715 |
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|
num_examples: 6629 |
|
|
- name: test |
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|
num_bytes: 1485426.0 |
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|
num_examples: 736 |
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|
download_size: 11546517 |
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|
dataset_size: 13451157.715 |
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--- |
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# Dataset Card for Nail Biting Classification |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [https://huggingface.co/datasets/alecsharpie/nailbiting_classification](https://huggingface.co/datasets/alecsharpie/nailbiting_classification) |
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- **Repository:** [https://github.com/alecsharpie/nomo_nailbiting](https://github.com/alecsharpie/nomo_nailbiting) |
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- **Point of Contact:** [[email protected]]([email protected]) |
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### Dataset Summary |
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A binary image dataset for classifying nailbiting. Images are cropped to only show the mouth area. |
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Should contain edge cases such as drinking water, talking on the phone, scratching chin etc.. all in "no biting" category |
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## Dataset Structure |
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### Data Instances |
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- 7147 Images |
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- 14879790 bytes total |
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- 12332617 bytes download |
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### Data Fields |
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128 x 64 (w x h, pixels) |
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Black and white |
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Labels |
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- '0': biting |
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- '1': no_biting |
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### Data Splits |
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- train: 6629 (11965737 bytes) |
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- test: 1471 (2914053 bytes) |
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## Dataset Creation |
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### Curation Rationale |
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I wanted to create a notification system to help me stop biting my nails. It needed to contain lots of possible no-biting scenarios. eg talking on the phone |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The data was scraped from stock images sites and photos of myself were taken with my webcam. |
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MTCNN (https://github.com/ipazc/mtcnn) was then used to crop the images down to only the show the mouth area |
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The images were then converted to a black & white colour scheme. |
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### Annotations |
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#### Annotation process |
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During the scraping process images were labelled with a description, which I then manually sanity checked. I labelled the ones of me manually. |
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#### Who are the annotators? |
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Alec Sharp |
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## Considerations for Using the Data |
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### Discussion of Biases & Limitations |
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Tried to make the dataset diverse in terms of age and skin tone. Although, this dataset contains a large number of images of one subject (me) so is biased towards lower quality webcam pictures of a white male with a short beard. |
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### Dataset Curators |
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Alec Sharp |
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### Licensing Information |
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MIT |
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### Contributions |
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Thanks to [@alecsharpie](https://github.com/alecsharpie) for adding this dataset. |
