Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Ultralytics YOLO 🚀 for SOTA object detection, instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, oriented object detection, and multi-object tracking.
Typed Python SDK for the Ultralytics Platform API
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.
Low level implementations for computer vision in Rust
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.
QUick and DIrty Domain Adaptation
RF-DETR
Torchreid-Pip: Deep learning person re-identification in PyTorch.
Image augmentation library for deep neural networks
A toolkit for making real world machine learning and data analysis applications
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 (volume data, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows. Available under AGPL-3.0-only or a commercial license with agreed coverage for your team, products, and deployments.
RF100-VL Dataset Interface
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
A toolkit for making real world machine learning and data analysis applications
Python SDK and CLI for Pictograph: real-time vision tools for agents and developers. SAM3 labeling, RF-DETR and YOLOX training, TensorRT GPU endpoints, and live video streams.
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
Ultralytics YOLO 🚀 for SOTA computer vision in server, container, and headless environments.
Image Acquisition Library for GenICam-based Machine Vision System
Packaged version of the Yolov5 object detector
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Easily turn a set of image urls to an image dataset
HPSv3: Towards Wide-Spectrum Human Preference Score - A VLM-based preference model for image quality assessment
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 unified multimodal backend agents build with. Database, orchestration, and serving in one Python file.
Computer vision models for PyTorch
The realtime communication library for Python
A lightweight, unified, cross-platform desktop application for AI-assisted annotation of text, image, video, and multimodal data.
RF-DETR+ Extension Package
Ultralytics HUB Client SDK.
Image augmentation library for deep neural networks
No-code neural network studio in your terminal: build, train, fine-tune and export PyTorch models.
Viewing and rendering of sequences of 3D data.
Chess board recognition toolkit
🔥LIT: The Learning Interpretability Tool
Modular industrial machine vision environment with an ordered workflow engine and web HMI
Sipeed Maix Vision Python SDK
Catalyst. Accelerated deep learning R&D with PyTorch.
A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
Find issues in image datasets
Automatically built Ultralytics package with python-opencv-headless dependency instead of python-opencv
A Python library including general functions and operations on various computer vision related structures.
Hardware Abstraction Layer for edge AI with zero-copy tensors, image processing, and YOLO decoding
A Python library for multi-object tracking data structures and algorithms
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.
Deterministic camera sensor and ISP simulation with image-quality metrics.
LLM-based image categorization tool with focus on book cover detection
A computer vision pipeline for the semantic exploration of maps/images at scale