Instance Segmentation
Showing 14 of 14 projects
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet.
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A fully convolutional neural network for real-time instance segmentation, achieving high speed and accuracy on COCO.
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
A simple and versatile framework for object detection and instance recognition with extensive model coverage and distributed training.
A Python library for 2D/3D object detection and instance segmentation in microscopy images using star-convex shapes.
A framework for semantic and instance segmentation of LiDAR point clouds using range images, designed for autonomous driving applications.
A PyTorch-based deep learning model for simultaneous nuclear instance segmentation and classification in histopathology images.
A deep learning library for single-cell analysis of biological images, specializing in cell segmentation and tracking.
A vision transformer-based deep learning model for automated instance segmentation and classification of cell nuclei in histopathology images.
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
A machine learning framework for automated cell segmentation in bioimages using parametric spline curves.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.