ios-app-icons / README.md
ppierzc's picture
Upload dataset
0950979
metadata
license: openrail
id: ios-app-icons
title: IOS App Icons
description: >
  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.
tasks:
  - image-captioning
tags:
  - image-captioning
  - ios-icons
created: December 20, 2023
citation: >-
  Author, A. et al. (2023). Your Dataset Name. [Hugging Face
  Datasets](https://huggingface.co/datasets/your_dataset_name).
dataset_info:
  features:
    - name: image
      dtype: image
    - name: caption
      dtype: string
  splits:
    - name: train
      num_bytes: 367958490.476
      num_examples: 1819
    - name: test
      num_bytes: 24842350
      num_examples: 100
  download_size: 338140473
  dataset_size: 392800840.476
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

IOS App Icons

Overview

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.

Images

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.

Data Format

The dataset is provided in the Hugging Face datasets format, with each sample containing the following information:

  • image_path: Local file path to the image.
  • caption: Generated caption for the corresponding image.

Usage

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.

Acknowledgments

License

This dataset is released under the Apache-2.0 License. Please review the license for details.