--- comments: true description: Upload custom datasets to Ultralytics HUB for YOLOv5 and YOLOv8 models. Follow YAML structure, zip and upload. Scan & train new models. --- # HUB Datasets ## 1. Upload a 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. When you upload a dataset to Ultralytics HUB, make sure to **place your dataset YAML inside the dataset root 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 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 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. <p align="center"> <img width="80%" src="https://user-images.githubusercontent.com/26833433/201424843-20fa081b-ad4b-4d6c-a095-e810775908d8.png" title="COCO8" /> </p> The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format. See the [YOLOv5 and YOLOv8 Train Custom Data tutorial](https://docs.ultralytics.com/yolov5/tutorials/train_custom_data/) for full details. ```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, ..] path: # dataset root dir (leave empty for HUB) train: images/train # train images (relative to 'path') 8 images val: images/val # val images (relative to 'path') 8 images test: # test images (optional) # Classes names: 0: person 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. Click 'Upload Dataset' to upload, scan and visualize your new dataset before training new YOLOv5 or YOLOv8 models on it! <img width="100%" alt="HUB Dataset Upload" src="https://user-images.githubusercontent.com/26833433/216763338-9a8812c8-a4e5-4362-8102-40dad7818396.png">