It is not possible to add your own dataset.

[Barmark-learn]

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• I have searched the HUB issues and found no similar bug report.

HUB Component

Datasets

Bug

I am trying to add my own dataset to the hub, but there is always an error: "The dataset images cannot be located.". I made the file structure as in the example, but it still won't load.

Environment

-Computer: Lenovo, -OS: Windows 11

Minimal Reproducible Example

1. Go to https://hub.ultralytics.com/home
2. Select Datasets
3. Try to upload

Additional

No response

[github-actions]

👋 Hello @Barmark-learn, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

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[UltralyticsAssistant]

@Barmark-learn hello! I'm sorry to hear you're experiencing issues with adding your own dataset to the Ultralytics HUB. Let's try to troubleshoot this together. 🛠️

First, please ensure that your dataset directory structure strictly follows the required format as outlined in our documentation. The error message you're seeing typically indicates that there might be a mismatch in the expected file paths.

Here are a few things to double-check:

• Confirm that your image files are indeed within the specified 'images' folder.
• Verify that the annotations are correctly placed in the corresponding 'labels' folder and that they match the format specified in the documentation.
• Make sure that there are no typos or discrepancies in the folder names or the paths within your dataset configuration.

If you've confirmed all the above and the issue persists, it might be helpful to review the dataset's configuration file for any errors or omissions.

For further detailed guidance on dataset structure and troubleshooting, please refer to the Ultralytics HUB Docs. If the problem continues after reviewing the documentation, please provide us with the exact error message and a description of your dataset structure so we can assist you more effectively.

We appreciate your patience and are here to help you get your dataset up and running! 🌟

[Burhan-Q]

@Barmark-learn I was troubleshooting this with someone recently. This is how I structured my directory and was able to get the data to upload (I only made a small dataset of 20 images for testing)

data
└───data-seg20
        ├───data.yaml
        ├───train
        │     ├───images
        │     └───labels
        └───valid
              ├───images
              └───labels

You can also verify your dataset locally for HUB using

from ultralytics.hub import check_dataset

check_dataset('Q:\data\data-seg20.zip', task="segment")

which will show (I was using segment data):

Starting HUB dataset checks for Q:\data\data-seg20.zip....

WARNING ⚠️ Skipping Q:\data\data-seg20.zip unzip as destination directory Q:\data\data-seg20 is not empty.

Scanning Q:\data\data-seg20\train\labels... 20 images, 0 backgrounds, 0 corrupt: 100%|██████████| 20/20 [00:00<00:00, 1254.80it/s]
New cache created: Q:\data\data-seg20\train\labels.cache
Statistics: 100%|██████████| 20/20 [00:00<?, ?it/s]

Scanning Q:\data\data-seg20\valid\labels... 20 images, 0 backgrounds, 0 corrupt: 100%|██████████| 20/20 [00:00<00:00, 1666.92it/s]
New cache created: Q:\data\data-seg20\valid\labels.cache
Statistics: 100%|██████████| 20/20 [00:00<?, ?it/s]

Checks completed correctly ✅. Upload this dataset to https://hub.ultralytics.com/datasets/.

[Barmark-learn]

@Burhan-Q, Thanks for the advice, I'll try

[jackbrown333]

Pycharm tells me is correct, but i can't upload my datasets
Unzipping /Users/zhuxinchen/PycharmProjects/pythonProject3/i think i can.v1i.yolov5pytorch的副本.zip to /Users/zhuxinchen/PycharmProjects/pythonProject3/i think i can.v1i.yolov5pytorch...: 100%|██████████| 7/7 [00:00<00:00, 1199.89file/s]
Checks completed correctly ✅. Upload this dataset to https://hub.ultralytics.com/datasets/.

[Burhan-Q]

@jackbrown333 see examples in my comment here about what will work for dataset structuring for HUB

[github-actions]

👋 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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