YOLOv8 Multiple Object Tracking Training

1WantMyMoneyBack commented 3 months ago

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Question

Hi, I would like to train the model performing the Multiple Object Tracking task on the Visdrone2019-MOT dataset. Is this feasible? Or maybe I don't need to do specific training for the Multiple Object Tracking part.

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github-actions[bot] commented 3 months ago

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glenn-jocher commented 3 months ago

@1WantMyMoneyBack hi there! 👋

Great question! For Multiple Object Tracking (MOT) with YOLOv8, you primarily need a well-trained object detection model. YOLOv8's tracking capabilities, such as with BoT-SORT or ByteTrack, can then utilize this model for tracking without requiring specific training on the MOT task.

To use YOLOv8 for MOT on the Visdrone2019-MOT dataset, you'd follow these steps:

Train YOLOv8 on the Visdrone2019 detection dataset to get a robust detector.
Apply a tracker like BoT-SORT or ByteTrack using the trained model for the MOT task.

Here's a quick example of how you might set up tracking with a pre-trained model:

from ultralytics import YOLO

# Load your trained model
model = YOLO('path/to/your/trained_model.pt')

# Perform tracking on a video
results = model.track(source='path/to/your/video.mp4', tracker='botsort.yaml')

This approach allows you to leverage YOLOv8's detection capabilities for tracking without needing a separate training phase specifically for MOT.

Hope this helps! Let us know if you have any more questions. 😊

1WantMyMoneyBack commented 2 months ago

@glenn-jocher Thank you so much for your answer. There is one more question I would like to ask, is it possible to use VisDrone's MOT dataset to train yolo's detector？

github-actions[bot] commented 1 month ago

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

Docs: https://docs.ultralytics.com
HUB: https://hub.ultralytics.com
Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

glenn-jocher commented 1 month ago

Hi @1WantMyMoneyBack! 👋

Yes, you can use the VisDrone dataset to train YOLO's detector. Ensure the dataset is formatted correctly (e.g., annotations in YOLO format). Here’s a quick example of how you might start training:

yolo train data=visdrone.yaml model=yolov8n.yaml

Make sure visdrone.yaml points to your dataset paths and is set up correctly. Happy training! 😊

github-actions[bot] commented 1 week ago

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

Docs: https://docs.ultralytics.com
HUB: https://hub.ultralytics.com
Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

ultralytics / ultralytics