Ultralytics

Ultralytics YOLO11

Open-source vision model family covering detection, segmentation, classification, pose and oriented boxes.

Object detection boxes drawn over a busy industrial scene

Overview

YOLO11 was released on 10 September 2024 and is Ultralytics' recommended stable release. One family of model sizes covers detection, instance segmentation, classification, pose estimation and oriented bounding boxes, exported to edge runtimes such as TensorRT, OpenVINO and ONNX.

Typical use cases

  • Industrial inspection
  • People and vehicle analytics
  • Agricultural monitoring

Deployment environment

Any edge device or server able to run the exported model

Key specifications

Released
10 September 2024
Tasks
Detection, segmentation, classification, pose, oriented bounding boxes
Licence
AGPL-3.0, or Ultralytics Enterprise commercial licence
Deployment
Export to ONNX, TensorRT, OpenVINO and other edge runtimes

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

Developer screen showing multiple analysed video streams
NVIDIA

NVIDIA DeepStream SDK

GPU-accelerated SDK for building real-time video analytics pipelines on Jetson and x86 GPUs.

Type
Streaming vision AI pipeline SDK
Targets
NVIDIA discrete GPUs on x86 and NVIDIA Jetson platforms
Deployment
On premises, at the edge and in the cloud
Deployment
Jetson device, edge server or cloud GPU instance
Multi-camera video analytics
Traffic and city monitoring
Retail and safety analytics
Developer workspace with camera feed and code side by side
Roboflow

Roboflow Inference

Open-source inference package and server that turns a computer or edge device into a vision deployment target.

Type
Inference library and HTTP inference server
Licence
Apache 2.0 core library; separate licences for model and enterprise components
Features
Model loading, pre- and post-processing, CPU and GPU optimisation, workflows
Deployment
Workstation, edge device or on-premise server
Camera-based inspection
Prototype to production vision apps
On-premise inference services