Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. 💜
OpenMMLab Detection Toolbox and Benchmark
deep learning for image processing including classification and object-detection etc.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A simple, fully convolutional model for real-time instance segmentation.
Accelerated deep learning R&D
An open source library and framework for deep learning on satellite and aerial imagery.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Deep and Machine Learning for Microscopy
PyTorch Connectomics: segmentation toolbox for EM connectomics
基于 PatchCore 的工业异常检测项目，研究 layer2/layer3 分数融合、敏感性引导收缩与风险受控门控，并提供 Streamlit 工程化 Demo。
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
Panoptic segmentation algorithms for 2D and 3D electron microscopy images