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

QUick and DIrty Domain Adaptation

Image augmentation library for deep neural networks

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

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.

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

Image Acquisition Library for GenICam-based Machine Vision System

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

Catalyst. Accelerated deep learning R&D with PyTorch.

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.

Ultralytics HUB Client SDK.

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.

Computer vision models for PyTorch

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

Easily turn a set of image urls to an image dataset

A rastervision plugin that adds geospatial machine learning pipelines

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

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

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

TorchSeg: Semantic Segmentation models for PyTorch

HuggingFace utilities for Ultralytics/YOLOv8.

🔥LIT: The Learning Interpretability Tool

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

Find issues in image datasets

Training utility library and config manager for Granular Machine Vision research

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

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

Defining the Future of 3D Machine Vision

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.

Fast 6DoF Face Alignment and Tracking

Agnostic Computer Vision Framework

Viewing and rendering of sequences of 3D data.

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

ML/DL tools function library

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

A python package Library which implement IA algorithms to detect cracks and failures on roads. The package is wrapper around all the models and provides an interfaces to use them properly

Python Tools for Visual Dataset Transformation

A library for computer vision and machine learning

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

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models