YOLO11

Advanced object detection and tracking model

CommonProductImageObject DetectionMachine Learning

Ultralytics YOLO11 is further developed from the previous YOLO series models, introducing new features and improvements to enhance performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it ideal for a wide range of tasks including object detection, tracking, instance segmentation, image classification, and pose estimation.

Supports multiple tasks: object detection
tracking
instance segmentation
image classification
and pose estimation.
Provides pre-trained models: detection
segmentation
and pose models pre-trained on the COCO dataset
as well as classification models pre-trained on the ImageNet dataset.
Usable directly in both command line interface (CLI) and Python environments.

The target audience includes AI researchers
data scientists
machine learning engineers
and students who need a fast
accurate

Detecting vehicles and pedestrians in traffic monitoring systems.
Analyzing customer behavior in retail environments.
Identifying lesions in medical image analysis.

Install the ultralytics package via pip
which includes all dependencies.
Load the pre-trained model using the CLI or Python environment.
Train or evaluate the model as needed.
Use the model for object detection or other tasks on images.

Visit

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Monthly Visits

929534

Bounce Rate

35.50%

Page per Visit

9.8

Visit Duration

00:06:18

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