Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Advanced Normalization Tools (ANTs)

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

GPU-accelerated Image Processing library using OpenCL

GPU-accelerated Image Processing library

Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".

A tool for cell instance aware segmentation in densely packed 3D volumetric images

A deep learning-based implementation of an underlying surfaces segmentation algorithm

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Open source Python library for building bioimage analysis pipelines

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Tree detection from aerial imagery in Python

Image pyramid generation for grayscale and segmentation image resize.

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.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星：）。

Implemented research paper on UNETR on a custom multi-class dataset, built modular pipelines, served the model as REST API, developed the backend on Django REST Framework, deployed on AWS, developed frontend on Next.Js, deployed on Vercel. Implemented MLOps and DevOps.

♻️ Data preparation, image classification and segmentation of images of trash.