Using OBB for pick and place on a robotic arm about ultralytics

[github-actions]

👋 Hello @KennethEladistu, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the vibrant Ultralytics Discord 🎧 community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

Hello! Welcome to the world of AI and thanks for considering Ultralytics YOLO for your project. 🚀

Yes, using Oriented Bounding Boxes (OBB) for a pick and place task with a robotic arm is definitely possible and a great application of our YOLO models. You can annotate your parcel picture datasets in the YOLO OBB format, which uses the four corner points of objects. After annotation, you can train a model like YOLOv8n-OBB to recognize and precisely localize the parcels.

For training, you'll need to set up your dataset in the correct format as described in our documentation on OBB datasets. Once your model is trained, it can be integrated into your robotic system to guide the pick and place operations.

If you need further guidance on setting up your dataset or any other specifics, feel free to ask. Good luck with your project! 🤖