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Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
Accelerated deep learning R&D
A cross-platform video structuring (video analysis) framework based on CV models & mLLM.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Tree detection from aerial imagery in Python
Deep learning for medical images in R: semantic and instance segmentation, object detection, 2D and 3D, DICOM and NIfTI, one specification.
SegNet-like network implemented in TensorFlow to use for segmenting aerial images
SamGIS can do machine learning-based (Segment Anything by Meta - Facebook) image segmentation tasks applied to GIS and geo data
Julia version of watershed.