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ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation,
Machine LearningLibrariesOpen Source
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60,424stars
60,424points
About
Ultralytics YOLO is a state-of-the-art AI tool for real-time object detection, tracking, and segmentation. It is designed for developers, researchers, and data scientists seeking high-performance, scalable solutions for computer vision tasks. With its user-friendly interface and robust features, it is ideal for applications in surveillance, robotics, and autonomous systems.
Technical Details
- Task Type
- general
- Technical Level
- advanced
- Deployment Options
- librarycli
Information
- Launched
- September 11, 2022
- Popularity Score
- 100.0
Tags
pytorchcomputer-visionultralyticsinstance-segmentationpose-estimationYOLOdeep learningyoloroboticsimage segmentationpythonobject detectionmachine-learningyolov8surveillance systemsobject-detectionautonomous systemstrackingdeep-learningAI toolPythonreal-time trackingobject-trackingimage-classificationcomputer visionhub