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: int64
- name: caption
dtype: int64
splits:
- name: train
num_bytes: 160
num_examples: 10
download_size: 1443
dataset_size: 160
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
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
- iOS Icon Gallery: https://www.iosicongallery.com
- Blip Image Captioning model: Salesforce/blip-image-captioning-large
License
This dataset is released under the Apache-2.0 License. Please review the license for details.