ultralytics 8.1.45

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

The ultralytics/ultralytics repo was created 1 years ago and the last code push was an hour ago.
The project is extremely popular with a mindblowing 21955 github stars!

How to Install ultralytics

You can install ultralytics using pip

pip install ultralytics

or add it to a project with poetry

poetry add ultralytics

Package Details

Author

Glenn Jocher, Ayush Chaurasia, Jing Qiu

License

AGPL-3.0

Homepage

None

PyPi:

https://pypi.org/project/ultralytics/

GitHub Repo:

https://github.com/ultralytics/ultralytics

Classifiers

• Scientific/Engineering
• Scientific/Engineering/Artificial Intelligence
• Scientific/Engineering/Image Recognition
• Software Development

Related Packages

Errors

A list of common ultralytics errors.

Code Examples

Here are some ultralytics code examples and snippets.

GitHub Issues

The ultralytics package has 850 open issues on GitHub

• RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling cublasCreate(handle)
• Add model YAML override arguments nc, activation
• Hyperparameter Tuning errors [Possible Bug?]
• should I include background images (unlabeled images) in the validation or test set
• How to increase value of tracker_buffer
• Add transparent layer for labels
• azure.core.exceptions.HttpResponseError: Operation returned an invalid status 'Artifact batch size exceeded the limit of 100'
• Using ONNX with Ultralytic's YOLO doesn't work
• How can I increase my training results?
• Can't use more than about 3000 training images, regardless of model & image size
• How to Train Instance Segmentation of Discontinuous Occlusive Objects
• Segmentation with overlapping objects
• Function of imgsz training parameter
• Onnxruntime How to implement Yolov8 Segment Classify Pose
• Increase yolov8 mAP

See more issues on GitHub