wiki art Computer Vision Project

c1

Updated 2 months ago

0

views

0

downloads
Classes (27)
Abstract_Expressionism
Action_painting
Analytical_Cubism
Art_Nouveau_Modern
Baroque
Color_Field_Painting
Contemporary_Realism
Cubism
Early_Renaissance
Expressionism
Fauvism
High_Renaissance
Impressionism
Mannerism_Late_Renaissance
Minimalism
Naive_Art_Primitivism
New_Realism
Northern_Renaissance
Pointillism
Pop_Art
Post_Impressionism
Realism
Rococo
Romanticism
Symbolism
Synthetic_Cubism
Ukiyo_e

Metrics

Try This Model
Drop an image or
Description

Art Classification Dataset

This classification dataset contains artistic movement art images that ranges from Abstract Expressionism to Pop Art.

Classes

  • Abstract_Expressionism
  • Action_painting
  • Analytical_Cubism
  • Art_Nouveau_Modern
  • Baroque
  • Color_Field_Painting
  • Contemporary_Realism
  • Cubism
  • Early_Renaissance
  • Expressionism
  • Fauvism
  • High_Renaissance
  • Impressionism
  • Mannerism_Late_Renaissance
  • Minimalism
  • Naive_Art_Primitivism
  • New_Realism
  • Northern_Renaissance
  • Pointillism
  • Pop_Art
  • Post_Impressionism
  • Realism
  • Rococo
  • Romanticism
  • Symbolism
  • Synthetic_Cubism
  • Ukiyo_e

Using this computer vision model

The computer vision model that's been trained for this dataset can be used to help identify art from the artistic movement classes above.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            wiki-art-ze0ee_dataset,
                            title = { wiki art Dataset },
                            type = { Open Source Dataset },
                            author = { c1 },
                            howpublished = { \url{ https://universe.roboflow.com/c1-pgwxb/wiki-art-ze0ee } },
                            url = { https://universe.roboflow.com/c1-pgwxb/wiki-art-ze0ee },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

Similar Projects

See More
4.1k images 1 model