DeepFashion-MultiModal Dataset

The Wide look-MultiMedia file is a comprehensive, high-quality collection designed for text-driven controllable human image generation.The processing pipeline enhances the utility of the original raw data by focusing on several key improvements:

Central Alignment: Each image is meticulously aligned to center the human figure based on pose data, ensuring consistency and precision in the dataset.
Data Cleaning and Refinement: The dataset undergoes a thorough cleaning to remove any inconsistencies or errors in the annotations. 
Dataset Splitting: The entire dataset is methodically divided into two sets: a training set for developing models and a testing set for evaluating their performance.

• Comprehensive Fashion File: wide look-MultiMedia offers a vast collection of fashion images, annotations, and descriptions, ideal for research and development.
• Multi-Modal Features: Includes image, text, and attribute data for advanced fashion analysis and machine learning applications.
• Enhance AI Models: Perfect for training AI models in clothing recognition, style classification, and trend prediction.
• Diverse Clothing Categories: Covers a wide range of clothing categories and styles to provide diverse data for robust model training.
• High-Quality Annotations: Provides precise and high-quality annotations for improved accuracy in fashion-related projects.
• Research and Commercial Use: Suitable for both academic research and commercial use in fashion tech and e-commerce.