Image Classification Model for Art Types

[malhar2460]

Objective

• Implement a model that can categorize images into specific art types, classifying them into the following categories to enhance organization and accessibility:
  • Drawings and Watercolours
  • Works of Painting
  • Sculpture
  • Graphic Art
  • Iconography (old Russian art)

Tasks

• Data Cleaning & Transformation:
  • Preprocess, and transform the dataset to ensure images have consistent quality, size, and format.
• Model Implementation for Image Classification:
  • Implement a custom Convolutional Neural Network (CNN) or similar architecture suitable for multi-class image classification. Avoid using pre-trained models.
• Evaluation and Validation:
  • Assess model performance using appropriate metrics such as accuracy, precision, and recall, and validate the model on a separate test set.

Contributors are expected to submit pull requests that meet the requirements of each task. The objective of the issue is to implement a custom model capable of accurately classifying images into the specified art categories.

The task has to be completed in .ipynb format in a folder named Image Classification Models.

The code should be well-commented, explaining the reason behind steps where necessary.

[Abdullah17m]

Hi @malhar2460 i would like to work on this issue can you please assign me

[malhar2460]

@Abdullah17m You are assigned the task of image classification.