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segmentation

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

GitHub: https://github.com/ultralytics/inference

https://docs.ultralytics.com/inference

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

GitHub: https://github.com/ultralytics/yolo-flutter-app

https://pub.dev/packages/ultralytics_yolo

Python research code for segment-based change point detection, evaluated against human annotations on the Turing Change Point Dataset (TCPD). Constant, linear, mean-and-variance and Bayesian segment models with exact, pruned, greedy and online search are scored by covering and F1, the benchmark's published outputs are replicated, and every number in the accompanying article is checked against the committed results.

Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.

GitHub: https://github.com/ultralytics/replicate

https://replicate.com/ultralytics/yolo11n

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

GitHub: https://github.com/ultralytics/notebooks

https://docs.ultralytics.com

A nutrition analysis system that uses computer vision, RAG, and an AI assistant to evaluate food products, calculate macronutrients, and provide personalized recommendations.

A gThumb viewer extension for reviewing and labeling image segmentation masks. Overlays colored polygons on images, lets you click a segment to edit its label, and saves changes back to a sidecar JSON file. UI companion for Segment Anything (SAM3)

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

This is a project to train, use and analyze 2D and 3D neural networks for segmentation.

Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.

Covid-Net based network, reproducibility experiment applied to CRX images for covid detection and classification

DBSCAN clustering based on the kd-tree search

Typesetting TEI xml Compliant Critical Editions (See http://www.ekdosis.org)

Implementazione di GraphCut un algoritmo per la segmentazione di immagini basato su grafi

Machine Learning - Regression Problem

piecewise constant approximation of graph-structured data along geometric primitives

Image Processing done in subject VBA(Vision Based Automation)

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.