Datasets:

Dant33
/

WikiArt-81K-BLIP_2-768x768

+---
+tags:
+- WikiArt
+- art
+- image-to-image
+- Stable-Diffusion
+- painting
+- digital-art
+- computer-vision
+- dataset
+- LANCZOS
+- image-processing
+- resized-images
+- 768x768
+- deep-learning
+- convolutional-neural-networks
+- feature-extraction
+- image-classification
+- machine-learning
+size_categories:
+- 10K<n<100K
+---
+# WikiArt Resized Dataset
+## Description
+This dataset contains 81,444 artistic images from WikiArt, organized into different artistic genres. The images have been resized to a uniform resolution of 768x768 pixels using LANCZOS resampling and padded to maintain aspect ratio, ensuring consistency for machine learning tasks and computational art analysis. The base for the dataset was [Dant33/WikiArt-81K-BLIP_2-captions](https://huggingface.co/datasets/Dant33/WikiArt-81K-BLIP_2-captions).
+## Enhancements
+### 1. Image Resizing with Padding
+- All images have been resized to fit within **768x768 pixels** while maintaining their aspect ratio.
+- The resizing was performed using `target_size=(768, 768), resample=Image.LANCZOS`, followed by padding with a black background to fill the remaining space.
+- The filenames were updated to reflect this change by appending `_resize768` to the original filename.
+### 2. Genre Normalization
+- Each image is classified under a **single** main artistic genre.
+- The dataset contains **27 main genres**:
+| #  | Genre                        | Size  |
+|----|------------------------------|-------|
+| 1  | Impressionism                | 13060 |
+| 2  | Realism                      | 10733 |
+| 3  | Romanticism                  | 7019  |
+| 4  | Expressionism                | 6736  |
+| 5  | Post Impressionism           | 6450  |
+| 6  | Symbolism                    | 4528  |
+| 7  | Art Nouveau Modern           | 4334  |
+| 8  | Baroque                      | 4240  |
+| 9  | Abstract Expressionism       | 2782  |
+| 10 | Northern Renaissance         | 2552  |
+| 11 | Naive Art Primitivism        | 2405  |
+| 12 | Cubism                       | 2235  |
+| 13 | Rococo                       | 2089  |
+| 14 | Color Field Painting         | 1615  |
+| 15 | Pop Art                      | 1483  |
+| 16 | Early Renaissance            | 1391  |
+| 17 | High Renaissance             | 1343  |
+| 18 | Minimalism                   | 1337  |
+| 19 | Mannerism Late Renaissance   | 1279  |
+| 20 | Ukiyo e                      | 1167  |
+| 21 | Fauvism                      | 934   |
+| 22 | Pointillism                  | 513   |
+| 23 | Contemporary Realism         | 481   |
+| 24 | New Realism                  | 314   |
+| 25 | Synthetic Cubism             | 216   |
+| 26 | Analytical Cubism            | 110   |
+| 27 | Action painting              | 98    |
+### 3. Automatic Description Generation
+- Each image includes a textual description generated using the [BLIP2](https://huggingface.co/Salesforce/blip2-opt-2.7b) model.
+## Dataset Format
+The dataset is structured in a CSV file with the following columns:
+- **file_name**: Image filename, including the `_resize768` suffix.
+- **genre**: Assigned artistic genre.
+- **artist**: Artist's name.
+- **painting_name**: Painting title, cleaned and formatted.
+- **phash**: Perceptual hash of the image.
+- **description**: Automatically generated image description.
+- **subset**: Subset to which the image belongs (train or test).
+### Example Entry
+```
+file_name,genre,artist,painting_name,phash,description,subset
+Impressionism/william-merritt-chase_still-life-with-cockatoo_resize768.jpg,Impressionism,william merritt chase,still life with cockatoo,b0e24b85961e6de9,a painting of a white bird sitting on a vase,train
+```
+## Usage
+This dataset is ideal for:
+- Artistic style classification.
+- Training deep learning models for image-based tasks.
+- Automatic art description generation.
+- Image retrieval and similarity analysis.