update(docs): improve readme
Browse files
README.md
CHANGED
|
@@ -1,23 +1,54 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
## Overview
|
| 4 |
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
-
|
| 8 |
|
| 9 |
-
|
| 10 |
-
- `caption`: Descriptive captions generated for each app icon.
|
| 11 |
|
| 12 |
-
|
|
|
|
| 13 |
|
| 14 |
-
|
| 15 |
|
| 16 |
-
|
| 17 |
-
dataset/
|
| 18 |
-
├── data/
|
| 19 |
-
│ ├── image_0.png
|
| 20 |
-
│ ├── image_1.png
|
| 21 |
-
│ ├── ...
|
| 22 |
-
│ └── image_n.png
|
| 23 |
-
└── dataset.arrow
|
|
|
|
| 1 |
+
---
|
| 2 |
+
id: ios-app-icons
|
| 3 |
+
title: IOS App Icons
|
| 4 |
+
description: |
|
| 5 |
+
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.
|
| 6 |
+
|
| 7 |
+
tasks:
|
| 8 |
+
- image-captioning
|
| 9 |
+
|
| 10 |
+
license: openrail
|
| 11 |
+
|
| 12 |
+
# Add any relevant tags
|
| 13 |
+
tags:
|
| 14 |
+
- image-captioning
|
| 15 |
+
- ios-icons
|
| 16 |
+
|
| 17 |
+
# Add the date the dataset was created or last updated
|
| 18 |
+
created: December 20, 2023
|
| 19 |
+
|
| 20 |
+
# Add the dataset citation, if applicable
|
| 21 |
+
citation: |
|
| 22 |
+
Author, A. et al. (2023). Your Dataset Name. [Hugging Face Datasets](https://huggingface.co/datasets/your_dataset_name).
|
| 23 |
+
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# IOS App Icons
|
| 27 |
|
| 28 |
## Overview
|
| 29 |
|
| 30 |
+
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.
|
| 31 |
+
|
| 32 |
+
## Images
|
| 33 |
+
|
| 34 |
+
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.
|
| 35 |
+
|
| 36 |
+
## Data Format
|
| 37 |
+
|
| 38 |
+
The dataset is provided in the Hugging Face datasets format, with each sample containing the following information:
|
| 39 |
+
|
| 40 |
+
- `image_path`: Local file path to the image.
|
| 41 |
+
- `caption`: Generated caption for the corresponding image.
|
| 42 |
+
|
| 43 |
+
## Usage
|
| 44 |
|
| 45 |
+
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.
|
| 46 |
|
| 47 |
+
## Acknowledgments
|
|
|
|
| 48 |
|
| 49 |
+
- iOS Icon Gallery: [https://www.iosicongallery.com](https://www.iosicongallery.com)
|
| 50 |
+
- Blip Image Captioning model: [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large)
|
| 51 |
|
| 52 |
+
## License
|
| 53 |
|
| 54 |
+
This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Please review the license for details.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|