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AWS S3 path for training data #11408

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rokopi-byte opened this issue Apr 21, 2023 · 4 comments
Closed
1 task done

AWS S3 path for training data #11408

rokopi-byte opened this issue Apr 21, 2023 · 4 comments
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question Further information is requested Stale

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@rokopi-byte
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Hi,
Is there any possibility to use AWS S3 bucket as source for training data?

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@rokopi-byte rokopi-byte added the question Further information is requested label Apr 21, 2023
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github-actions bot commented Apr 21, 2023

👋 Hello @rokopi-byte, 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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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.

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cd yolov5
pip install -r requirements.txt  # install

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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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👋 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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@github-actions github-actions bot added the Stale label May 22, 2023
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Jun 1, 2023
@HannahAlexander
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HI, I also have this question. Does any one have an answer?

@glenn-jocher
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@HannahAlexander hi there! Thank you for reaching out. Using an AWS S3 bucket as a source for training data is indeed possible with YOLOv5. You can use the AWS SDK for Python (Boto3) to access your S3 bucket and download the training data directly from there. You can find more information and example code in the Boto3 documentation.
If you have any further questions, feel free to ask.

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