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README.md
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## Overview
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- `caption`: Descriptive captions generated for each app icon.
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dataset/
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├── data/
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│ ├── image_0.png
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│ ├── image_1.png
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│ ├── ...
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│ └── image_n.png
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└── dataset.arrow
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---
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id: ios-app-icons
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title: IOS App Icons
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description: |
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This dataset contains images and captions of iOS app icons collected from the iOS Icon Gallery. The images have been processed using a Blip Image Captioning model to generate captions.
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tasks:
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- image-captioning
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license: openrail
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# Add any relevant tags
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tags:
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- image-captioning
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- ios-icons
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# Add the date the dataset was created or last updated
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created: December 20, 2023
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# Add the dataset citation, if applicable
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citation: |
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Author, A. et al. (2023). Your Dataset Name. [Hugging Face Datasets](https://huggingface.co/datasets/your_dataset_name).
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---
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# IOS App Icons
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## Overview
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This dataset contains images and captions of iOS app icons obtained from the iOS Icon Gallery. Each image is paired with a generated caption using a Blip Image Captioning model. The dataset is suitable for image captioning tasks and can be used to train and evaluate models for generating captions for iOS app icons.
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## Images
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The images are stored in the 'images' directory, and each image is uniquely identified with a filename (e.g., 'image_0.png'). The images have a resolution of 512x512 pixels.
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## Data Format
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The dataset is provided in the Hugging Face datasets format, with each sample containing the following information:
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- `image_path`: Local file path to the image.
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- `caption`: Generated caption for the corresponding image.
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## Usage
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You can use this dataset for training, fine-tuning, and evaluating image captioning models. The captions can be leveraged for tasks such as generating natural language descriptions for iOS app icons.
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## Acknowledgments
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- iOS Icon Gallery: [https://www.iosicongallery.com](https://www.iosicongallery.com)
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- Blip Image Captioning model: [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large)
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## License
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This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Please review the license for details.
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