ultralytics / yolo26
Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.
Why this job: topics: computer-vision, object-detection, image-classification, semantic-segmentation, instance-segmentation, pose-estimation, deep-learning, machine-learning, pytorch
What it does
Ultralytics YOLO26 is available through the official Ultralytics YOLO package. It supports object detection, instance segmentation, semantic segmentation, depth estimation, image classification, pose estimation, oriented object detection, and tracking in a fast, accurate, and easy to use Python and CLI workflow.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 57 days ago
- Stars
- 170
- +5 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- Off
- Issues switched off
- Pull requests
- 12 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- Security policy (opens in new tab)
- Code of conduct (opens in new tab)
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More: topics and project record
Topics
- cli
- computer-vision
- deep-learning
- depth-estimation
- edge-ai
- image-classification
- instance-segmentation
- machine-learning
- model-export
- obb
- object-detection
- object-tracking
Project record
- JobAI libraries and models
- StatusListed
- Commits13
- Forks22
- Watching2
- Stars in 28 days+40
- CreatedJun 12, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026