deep learning for image processing including classification and object-detection etc.
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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Multi-platform, free open source software for visualization and image computing.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
A lean C++ library for working with point cloud data
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.
Self-contained Japanese Morphological Analyzer written in pure Go
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
3D medical imaging reconstruction software
Ground Segmentation from Lidar Point Clouds
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.
Segment Anything for Microscopy
Intensity-based_Lidar_Camera_Calibration
PyTorch Connectomics: segmentation toolbox for EM connectomics
Crop/Weed Field Image Dataset
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Axon/Myelin segmentation using Deep Learning
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy