shreyas-bk/u2netdemo
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
This project helps graphic designers, e-commerce managers, or marketers quickly process images for their campaigns or product listings. You provide original images, and it can remove backgrounds, swap them out for new ones, highlight key objects, or crop around them. This is ideal for anyone needing to prepare many images for web use or promotional materials.
203 stars. No commits in the last 6 months.
Use this if you need to efficiently remove backgrounds, change backgrounds, or isolate specific objects from a large collection of images without advanced photo editing software.
Not ideal if you require highly precise, pixel-perfect image manipulation or professional-grade artistic retouching, as it's an automated solution.
Stars
203
Forks
35
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 24, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/shreyas-bk/u2netdemo"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
uber-research/UPSNet
UPSNet: A Unified Panoptic Segmentation Network
augmentedstartups/AS-One
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under...
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with...
robustsam/RobustSAM
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
AIDajiangtang/Segment-Anything-CSharp
segment anything（SAM） WPF客户端