matin-ghorbani/Carvana-Segmentation-UNet
Implement a Carvana segmentation using UNet from scratch with PyTorch
This project helps automotive companies, insurance providers, or even digital marketers automatically separate cars from their backgrounds in images. You input a car image, and it outputs a precise mask highlighting just the car's silhouette. This is useful for anyone needing to isolate vehicles for cataloging, inspection, or marketing materials.
No commits in the last 6 months.
Use this if you need to precisely segment objects, especially vehicles, from images and want to train a model to do so.
Not ideal if you need a solution for a different type of image segmentation (e.g., semantic segmentation with many classes) or don't have the technical expertise to train and run machine learning models.
Stars
7
Forks
—
Language
Python
License
MIT
Category
Last pushed
Sep 03, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/matin-ghorbani/Carvana-Segmentation-UNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
BiaPyX/BiaPy
Open source Python library for building bioimage analysis pipelines
Abe404/root_painter
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
junlabucsd/napari-mm3
Mother machine image analysis through napari
Dootmaan/MT-UNet
Official Code for *Mixed Transformer UNet for Medical Image Segmentation*
chanzuckerberg/napari-hub
Discover, install, and share napari plugins