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--- |
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license: cc-by-nc-nd-4.0 |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- image-segmentation |
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pretty_name: Visaul Font Recognition Dataset |
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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: annotation |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 1011715449.0 |
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num_examples: 10000 |
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download_size: 985371934 |
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dataset_size: 1011715449.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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tags: |
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- art |
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- design |
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- font |
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- fonts |
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--- |
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# Dataset Card |
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<!-- Provide a quick summary of the dataset. --> |
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this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions. |
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### Dataset Description |
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this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions. |
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- **Curated by:** Mate Tcholokava |
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- **License:** cc-by-nc-nd-4.0 |
