Machine Vision

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Fast, flexible, and advanced image augmentation library for deep learning and computer vision. Albumentations offers a wide range of transformations for images, masks, bounding boxes, and keypoints, with optimized performance and seamless integration into ML workflows.

John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

A set of easy-to-use utils that will come in handy in any Computer Vision project

Image augmentation library for deep neural networks

QUick and DIrty Domain Adaptation

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

A toolkit for making real world machine learning and data analysis applications

Light Weight Toolkit for Bounding Boxes

Packaged version of the Yolov5 object detector

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Client library to use the IBM Watson Services

Catalyst. Accelerated deep learning R&D with PyTorch.

Easily turn a set of image urls to an image dataset

Image Acquisition Library for GenICam-based Machine Vision System

Agnostic Computer Vision Framework

A rastervision plugin that adds geospatial machine learning pipelines

Ultralytics HUB Client SDK.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

TorchSeg: Semantic Segmentation models for PyTorch

A toolkit for making real world machine learning and data analysis applications

HuggingFace utilities for Ultralytics/YOLOv8.

Pymba is a Python wrapper for Allied Vision's Vimba C API.

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

Computer vision models for PyTorch

Easily computing clip embeddings and building a clip retrieval system with them

This is the module for detecting and classifying text on rama pictures

A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly.

🔥LIT: The Learning Interpretability Tool

A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Get descriptions of images from OpenAI, Azure OpenAI, and Anthropic Claude models with support for local files and batch processing.

Python Tools for Visual Dataset Transformation

Find issues in image datasets

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Defining the Future of 3D Machine Vision

:warning: The `yolov8` package is a placeholder, not the official Ultralytics version. Please install the official `ultralytics` package via `pip install ultralytics` instead.

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

AI-powered library for extracting engineering data from PDF and image-based technical drawings, automating key detail retrieval for manufacturing workflows.

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

Training utility library and config manager for Granular Machine Vision research

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

A library for computer vision and machine learning

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Torchreid-Pip: Deep learning person re-identification in PyTorch.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.