Overview: The Ara-Pic dataset is a collection of images designed to support research and development in various computer vision and machine learning tasks. It contains a diverse range of images spanning six distinct categories, with each category further divided into ten classes. The dataset is a valuable resource for tasks such as image classification, object recognition, and more.
Dataset Details Categories: The Ara-Pic dataset is organized into the following six categories:
Food Architecture Natural Landscapes Arabic Family Religious Events Fashion Classes: Each category contains ten unique classes, capturing a wide variety of visual concepts within that category. Each class contains 20 or more images, providing more than 1800 images that are contiously increasing.
Ara-Pic dataset contains images related to the Arabic culture in 6 main categories: Food, Architecture, Natural landscapes, Arabic family and Fashion in the follwing structure:
├── Food/
│ ├── Class1/
│ │ ├── image1.jpg
│ │ ├── image2.jpg
│ │ ├── ...
│ ├── Class2/
│ ├── ...
│
├── Architecture/
│ ├── Class1/
│ ├── Class2/
│ ├── ...
│
├── Natural Landscapes/
│ ├── Class1/
│ ├── Class2/
│ ├── ...
│
├── Arabic Family/
│ ├── Class1/
│ ├── Class2/
│ ├── ...
│
├── Religious Events/
│ ├── Class1/
│ ├── Class2/
│ ├── ...
│
├── Fashion/
│ ├── Class1/
│ ├── Class2/
│ ├── ...
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