Ultralytics HUB datasets are a practical solution for managing and leveraging your custom datasets.
Ultralytics HUB datasets are just like YOLOv5 and YOLOv8 🚀 datasets, they use the same structure and the same label formats to keep
Once uploaded, datasets can be immediately utilized for model training. This integrated approach facilitates a seamless transition from dataset management to model training, significantly simplifying the entire process.
## Upload Dataset
Ultralytics HUB datasets are just like YOLOv5 and YOLOv8 🚀 datasets. They use the same structure and the same label formats to keep
everything simple.
everything simple.
When you upload a dataset to Ultralytics HUB, make sure to **place your dataset YAML inside the dataset root directory**
Before you upload a dataset to Ultralytics HUB, make sure to **place your dataset YAML file inside the dataset root directory** and that **your dataset YAML, directory and ZIP have the same name**, as shown in the example below, and then zip the dataset directory.
as in the example shown below, and then zip for upload to [https://hub.ultralytics.com](https://hub.ultralytics.com/). Your **dataset YAML, directory
and zip** should all share the same name. For example, if your dataset is called 'coco8' as in our
For example, if your dataset is called "coco8", as our [COCO8](https://docs.ultralytics.com/datasets/detect/coco8) example dataset, then you should have a `coco8.yaml` inside your `coco8/` directory, which will create a `coco8.zip` when zipped:
example [ultralytics/hub/example_datasets/coco8.zip](https://github.com/ultralytics/hub/blob/master/example_datasets/coco8.zip), then you should have a `coco8.yaml` inside your `coco8/` directory, which should zip to create `coco8.zip` for upload:
```bash
```bash
zip -r coco8.zip coco8
zip -r coco8.zip coco8
```
```
The [example_datasets/coco8.zip](https://github.com/ultralytics/hub/blob/master/example_datasets/coco8.zip) dataset in this repository can be downloaded and unzipped to see exactly how to structure your custom dataset.
You can download our [COCO8](https://github.com/ultralytics/hub/blob/master/example_datasets/coco8.zip) example dataset and unzip it to see exactly how to structure your dataset.
The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format. See
The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format.
the [YOLOv5 and YOLOv8 Train Custom Data tutorial](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data/) for full details.
!!! example "coco8.yaml"
```yaml
# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
```yaml
path: # dataset root dir (leave empty for HUB)
--8<--"ultralytics/datasets/coco8.yaml"
train: images/train # train images (relative to 'path') 8 images
```
val: images/val # val images (relative to 'path') 8 images
test: # test images (optional)
After zipping your dataset, you should validate it before uploading it to Ultralytics HUB. Ultralytics HUB conducts the dataset validation check post-upload, so by ensuring your dataset is correctly formatted and error-free ahead of time, you can forestall any setbacks due to dataset rejection.
# Classes
```py
names:
from ultralytics.hub import check_dataset
0: person
check_dataset('path/to/coco8.zip')
1: bicycle
2: car
3: motorcycle
...
```
```
After zipping your dataset, sign in to [Ultralytics HUB](https://bit.ly/ultralytics_hub) and click the Datasets tab.
Once your dataset ZIP is ready, navigate to the [Datasets](https://hub.ultralytics.com/datasets) page by clicking on the **Datasets** button in the sidebar.
Click 'Upload Dataset' to upload, scan and visualize your new dataset before training new YOLOv5 or YOLOv8 models on it!
??? tip "Tip"
You can also upload a dataset directly from the [Home](https://hub.ultralytics.com/home) page.
Click on the **Upload Dataset** button on the top right of the page. This action will trigger the **Upload Dataset** dialog.
Upload your dataset in the _Dataset .zip file_ field.
You have the additional option to set a custom name and description for your Ultralytics HUB dataset.
When you're happy with your dataset configuration, click **Upload**.
After your dataset is uploaded and processed, you will be able to access it from the Datasets page.
You can view the images in your dataset grouped by splits (Train, Validation, Test).
??? tip "Tip"
Each image can be enlarged for better visualization.
Also, you can analyze your dataset by click on the **Overview** tab.
Next, [train a model](./models.md) on your dataset.
## Share Dataset
!!! info "Info"
Ultralytics HUB's sharing functionality provides a convenient way to share datasets with others. This feature is designed to accommodate both existing Ultralytics HUB users and those who have yet to create an account.
??? note "Note"
You have control over the general access of your datasets.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the dataset, regardless of whether they have an Ultralytics HUB account or not.
Navigate to the Dataset page of the dataset you want to share, open the dataset actions dropdown and click on the **Share** option. This action will trigger the **Share Dataset** dialog.
??? tip "Tip"
You can also share a dataset directly from the [Datasets](https://hub.ultralytics.com/datasets) page.
Set the general access to "Unlisted" and click **Save**.
Now, anyone who has the direct link to your dataset can view it.
??? tip "Tip"
You can easily click on the dataset's link shown in the **Share Dataset** dialog to copy it.
## Edit Dataset
Navigate to the Dataset page of the dataset you want to edit, open the dataset actions dropdown and click on the **Edit** option. This action will trigger the **Update Dataset** dialog.
??? tip "Tip"
You can also edit a dataset directly from the [Datasets](https://hub.ultralytics.com/datasets) page.
Apply the desired modifications to your dataset and then confirm the changes by clicking **Save**.
## Delete Dataset
Navigate to the Dataset page of the dataset you want to delete, open the dataset actions dropdown and click on the **Delete** option. This action will delete the dataset.
??? tip "Tip"
You can also delete a dataset directly from the [Datasets](https://hub.ultralytics.com/datasets) page.
??? note "Note"
If you change your mind, you can restore the dataset from the [Trash](https://hub.ultralytics.com/trash) page.
Sergiu Waxmann
1 year ago
committed by
GitHub