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 augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.

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

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.

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.

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.

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

Light Weight Toolkit for Bounding Boxes

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.

The realtime communication library for Python

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.

Packaged version of the Yolov5 object detector

Easily turn a set of image urls to an image dataset

Catalyst. Accelerated deep learning R&D with PyTorch.

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

Computer vision models for PyTorch

Ultralytics HUB Client SDK.

Image Acquisition Library for GenICam-based Machine Vision System

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

RF-DETR

RF100-VL Dataset Interface

TorchSeg: Semantic Segmentation models for PyTorch

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

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

A rastervision plugin that adds geospatial machine learning pipelines

HuggingFace utilities for Ultralytics/YOLOv8.

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

Automatically built Ultralytics package with python-opencv-headless dependency instead of python-opencv

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

AI Data Infrastructure: Declarative, Multimodal, and Incremental

🔥LIT: The Learning Interpretability Tool

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

Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.

Defining the Future of 3D Machine Vision

A package for signature verification and classification.

doc2text drastically improves the extraction of text from images by fixing resolution, text area (crop), and skew.

Training utility library and config manager for Granular Machine Vision research

Agnostic Computer Vision Framework

Find issues in image datasets

A computer vision pipeline for the semantic exploration of maps/images at scale

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

Software Development Kit for the Intel® Geti™ platform

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

Train models with self-supervised learning in a single command

Viewing and rendering of sequences of 3D data.

DeepLabelNet: Advanced Jupyter-like image annotation tool for Computer Vision Tasks

Packaged version of the Strongsort repository