Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5

Revolutionizing Bottle Detection Robotic Integration with YOLOv8

#1
๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ I'm thrilled to share the successful completion of our latest project: Bottle Detection with two distinct classes - labeled and unlabeled! ๐Ÿพ

๐Ÿค– Leveraging cutting-edge technologies, we combined RoboDK for camera inference, Ultralytics Hub for training YOLOv8 model, and Roboflow for annotation. ๐Ÿ’ก

๐Ÿ” With RoboDK, we ensured precise camera inference, enhancing our detection accuracy. ๐ŸŽฏ Ultralytics Hub empowered us to train our YOLOv8 model efficiently, optimizing performance. ๐ŸŒŸ And with Roboflow, annotation became a breeze, streamlining our workflow. ๐Ÿ”„

Demo Link -->ย https://youtu.be/BUKjOsF0C-o?feature=shared


Attached Files Thumbnail(s)
   
#2
This is an excellent example to use image processing for bottle detection!

Thank you for sharing, do you have a GitHub page where you share the project with more technical details?
#3
OK I just found the GitHub link in your other post:
https://github.com/Joe-KI333/RoboDkBottleDetection
  




Users browsing this thread:
1 Guest(s)