MediaPipe

Transformers

Transformers is a model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. It provides a wide range of pre-trained models and a simple interface for fine-tuning and deploying custom models.

OpenCV

OpenCV is a widely used open-source computer vision library that provides a wide range of functionalities for image and video processing, feature detection, object recognition, and more. It is widely used in various fields such as robotics, medical imaging, and surveillance.

supervision

Supervision is an open-source Python library of reusable computer vision building blocks - loading datasets, drawing and annotating detections, and counting objects inside a zone. It is deliberately model agnostic: you plug in any classification, detection, or segmentation model, with connectors for popular libraries such as Ultralytics, Transformers, and MMDetection. Supervision does not train or deploy models itself - it is the tooling you build around them.

Ultralytics

Ultralytics is a software suite for computer vision tasks, including object detection, instance segmentation, semantic segmentation, image classification, pose estimation, and object tracking. It provides a range of tools and models for developers and researchers to build and deploy AI-powered computer vision applications.