amirassov/kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
This project offers a robust solution for identifying and outlining individual fashion items within images. It takes raw fashion photos as input and precisely segments different clothing pieces, making it ideal for fashion retailers, e-commerce platforms, or style analytics companies. The output helps in inventory management, visual search, and trend analysis by pinpointing specific garments.
485 stars. No commits in the last 6 months.
Use this if you need to accurately detect and segment multiple fashion items like shirts, pants, or accessories within complex images.
Not ideal if your primary goal is to classify images by general fashion attributes (e.g., 'summer wear') rather than isolate specific garments, or if you don't require high-precision mask generation.
Stars
485
Forks
117
Language
Python
License
MIT
Category
Last pushed
Jan 12, 2020
Commits (30d)
0
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