Fashion Detection
A deep learning framework for detecting and localizing upper-body, lower-body, and full-body clothes in fashion images.
What is Fashion Detection?
Deep Clothes Detector is a deep learning-based computer vision framework that detects and localizes clothing items in fashion images. It uses Fast R-CNN to identify upper-body, lower-body, and full-body clothes with bounding boxes, solving the problem of automated fashion item recognition in unconstrained images.
Computer vision researchers, AI practitioners working on fashion analysis, and developers building applications for e-commerce visual search or clothing recommendation systems.
It provides a specialized, reproducible framework for fashion detection with pre-trained models and clear academic backing, offering a focused alternative to generic object detection systems for clothing-specific applications.
Overview
Fashion Detection in the Wild (Deep Clothes Detector)
Use Cases
Best For
- Academic research on fashion computer vision
- Building visual search systems for e-commerce clothing
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