1.WZMIAOMIAO / deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Ranked by Attention Score: stars gained over the last 90 complete days
29 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
deep learning for image processing including classification and object-detection etc.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Multi-platform, free open source software for visualization and image computing.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Segment Anything for Microscopy
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
3D medical imaging reconstruction software
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Self-contained Japanese Morphological Analyzer written in pure Go
Toolbox for the analysis of smFISH images.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Ground Segmentation from Lidar Point Clouds
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
A tool for cell instance aware segmentation in densely packed 3D volumetric images
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A lean C++ library for working with point cloud data
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
PyTorch Connectomics: segmentation toolbox for EM connectomics
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Intensity-based_Lidar_Camera_Calibration
Crop/Weed Field Image Dataset
Axon/Myelin segmentation using Deep Learning
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy