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Instance segmentation with masks in pixel format #11447

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sedol1339 opened this issue Apr 26, 2023 · 3 comments
Closed
1 task done

Instance segmentation with masks in pixel format #11447

sedol1339 opened this issue Apr 26, 2023 · 3 comments
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question Further information is requested Stale

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@sedol1339
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sedol1339 commented Apr 26, 2023

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Hello! I have a dataset on disk in YOLO format + ground-truth masks as binary images (not poligons).

Is it possible to train YOLO instance segmentation model on such data?

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@sedol1339 sedol1339 added the question Further information is requested label Apr 26, 2023
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👋 Hello @sedol1339, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

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@glenn-jocher
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glenn-jocher commented Apr 26, 2023

@sedol1339 yes, you can train a YOLO instance segmentation model on your dataset using YOLOv5. YOLOv5 supports instance segmentation and can be trained on any custom dataset as long as the data is in a compatible format.

To train a YOLO instance segmentation model, you will need to modify the YOLOv5 training script to include the mask images as input, and then adapt the loss function to include both object detection and mask detection loss terms.

Please let me know if you have any further questions or need any additional guidance!

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👋 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.

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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 ⭐

@github-actions github-actions bot added the Stale label May 27, 2023
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Jun 6, 2023
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