Image Segmentation for Person, Clothing, and Accessories Using U-Net
Computer Vision, Semantic Segmentation, 2024
This project involves a U-Net model trained on a Kaggle dataset to segment various elements in an image, including persons, clothing, accessories, hats, and more.
The model demonstrates pixel-wise segmentation, effectively identifying and labeling different objects within an image. Explore the code and results in the GitHub repository.
Link to the gihub repository:
