PlainRemover

Plain image background remover

Features

AI-Powered Background Removal: Uses advanced machine learning models to accurately detect and remove backgrounds.
Custom ONNX Models: Bring your own models to fit your need.
User-Friendly Interface: Easy-to-use UI for non-technical users.
Cross-Platform Support: Works on Windows, macOS, and Linux.
Custom Background Replacement: Replace the removed background with a solid color or another image.
Batch Processing: Process multiple images at once.

Model list

u2net (download, source): A pre-trained model for general use cases.
u2netp (download, source): A lightweight version of u2net model.
u2net_human_seg (download, source): A pre-trained model for human segmentation.
u2net_cloth_seg (download, source): A pre-trained model for Cloths Parsing from human portrait. Here clothes are parsed into 3 category: Upper body, Lower body and Full body.
silueta (download, source): Same as u2net but the size is reduced to 43Mb.
isnet-general-use (download, source): A new pre-trained model for general use cases.
isnet-anime (download, source): A high-accuracy segmentation for anime character.
sam (download encoder, download decoder, source): A pre-trained model for any use cases.
birefnet-general (download, source): A pre-trained model for general use cases.
birefnet-general-lite (download, source): A light pre-trained model for general use cases.
birefnet-portrait (download, source): A pre-trained model for human portraits.
birefnet-dis (download, source): A pre-trained model for dichotomous image segmentation (DIS).
birefnet-hrsod (download, source): A pre-trained model for high-resolution salient object detection (HRSOD).
birefnet-cod (download, source): A pre-trained model for concealed object detection (COD).
birefnet-massive (download, source): A pre-trained model with massive dataset.

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