DetecTree
DetecTree: Tree detection from aerial imagery in Python - Published in JOSS (2020)
Annotate-Lab
Annotate-Lab: Simplifying Image Annotation - Published in JOSS (2024)
kimimaro
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
orthoseg
OrthoSeg makes it easy to train neural networks to segment orthophotos.
catalyst
Accelerated deep learning R&D
smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
https://github.com/clesperanto/napari_pyclesperanto_assistant
GPU-accelerated general purpose image processing and image analysis in napari
https://github.com/smups/rustronomy-watershed
Rustronomy-watershed is a pure-rust implementation of the segmenting and merging watershed algorithms
https://github.com/rybakov-ks/particleanalyzer
A Computer Vision-based tool for automatic segmentation and size analysis of particles in Scanning Electron Microscope (SEM) images.
btp-ai-sustainability-bootcamp
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
https://github.com/broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
https://github.com/ai4er-cdt/gtc-exposure
Guided Team Challenge 2021: Exposure Team Project
https://github.com/centre-for-humanities-computing/artful-image-analysis
CHCAA's introductory workshop on image retrieval and computer vision
https://github.com/bmcv/superdsm
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
https://github.com/chenliu-1996/cuts
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
https://github.com/compvis/unsupervised-part-segmentation
Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"
https://github.com/cvi-szu/ccam
[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
pyhistology
Python package that uses colorspace-based segmentation to analyze histopathology images.
cytologick
(WIP) PyTorch/TensorFlow powered semantic segmentation software for cytological slides
https://github.com/ai-forever/easyportrait
EasyPortrait - Face Parsing and Portrait Segmentation Dataset
https://github.com/ai-forever/aggme
Aggregation framework for annotating datasets in computer vision tasks (detection, segmentation, video captioning etc.)
https://github.com/ctu-vras/traversability_estimation
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
https://github.com/cedrickchee/tgs-saltnet
Kaggle | 22nd place solution for TGS Salt Identification Challenge
basketball_detector
:basketball: BasketballDetector implementation using a segmentation approach
iddroadsegmentation
Distinguishing Urban Roads from Non-Road Regions in the Indian Driving Dataset(IDD) Using Binary Deep Learning Segmentation 🛣️
https://github.com/clesperanto/clic
GPU-accelerated Image Processing library for C++
https://github.com/cptanalatriste/aco-image-segmentation
Image Segmentation using Ant Colony algorithms.
aapi_code
A local application frontend and a backend server based on U-Net and Dectectron2 as a solution to the auto annotation of pathology images (Columbia Data Science Institute Fall 2020 Capstone Project)
motila
Pipeline for analyzing microglial fine process motility from 4D/5D multi-photon imaging data
https://github.com/autodistill/autodistill-grounded-edgesam
EdgeSAM model for use with Autodistill.
hbb2obb
📦 HBB2OBB is a Python library for converting horizontal (axis-aligned) bounding boxes to oriented (rotated) bounding boxes using SAM-based segmentation. Includes tools for visualization, evaluation, format conversion, and hyperparameter tuning.
https://github.com/atharvapathak/computer_vision_linear_regression_projects
This repository consists of some basic Computer Vision & Linear Regression Projects.
aladdin_cmr_la
Source code for Aladdin, a complete workflow for 3D MRI left atrium motion analysis
lazylabel
An image segmentation GUI that leverages SAM to prepare ML ready tensors
https://github.com/association-rosia/stranger-sections-2
Machine Learning challenge to classify and segment kerogen macerals in thin rock sections, using labeled and unlabeled images. Focused on identifying liptinite, vitrinite, and inertinite types, the competition emphasizes model accuracy measured by the Jaccard Score to enhance sedimentary rock analysis and hydrocarbon exploration.