Skip to main content

No project description provided

Project description




👋 Hello from the Ultralytics Team! We've been working hard these last few months to launch Ultralytics HUB, a new web tool for training and deploying all your YOLOv5 🚀 models from one spot!

1. Create a Dataset

Ultralytics HUB datasets are just like YOLOv5 🚀 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/. Your dataset yaml, directory and zip should all share the same name. For example, if your dataset is called 'coco6' as in our example ultralytics/hub/coco6.zip, then you should have a coco6.yaml inside your coco6/ directory, which should zip to create coco6.zip for upload:

zip -r coco6.zip coco6

The example coco6.zip dataset in this repository can be downloaded and unzipped to see exactly how to structure your custom dataset.

The dataset yaml is the same standard YOLOv5 yaml format. See the YOLOv5 Train Custom Data tutorial for full details.

# 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
nc: 80  # number of classes
names: [ 'person', 'bicycle', 'car', ...]

After zipping your dataset, sign in to HUB at https://hub.ultralytics.com and click on the Datasets tab. Click 'Upload Dataset' to upload, scan and visualize your new dataset before training new YOLOv5 models on it!

HUB Dataset Upload

2. Train a Model

Connect to the Ultralytics HUB notebook and signin using your Ultralytics API key to begin training your model. Open In Colab

❓ Issues

If you are a new Ultralytics HUB user and have questions or comments, you are in the right place! Please click the New Issue button in the Issues tab in this ultralytics/hub repo and let us know what we can do to make your life better 😃!


Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ultralytics-0.0.14.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

ultralytics-0.0.14-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file ultralytics-0.0.14.tar.gz.

File metadata

  • Download URL: ultralytics-0.0.14.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.0

File hashes

Hashes for ultralytics-0.0.14.tar.gz
Algorithm Hash digest
SHA256 067aadaf5d268e5b7dfe685d6b565995749bafbf2afd57ef05a8c89db43f1c09
MD5 4e028f5b72b79b564cf7004daf602e0b
BLAKE2b-256 b396eb3ec02a1a31c79ecd6f70618e406d5dd7a5d25ea0b541cd8069f7ab570d

See more details on using hashes here.

File details

Details for the file ultralytics-0.0.14-py3-none-any.whl.

File metadata

  • Download URL: ultralytics-0.0.14-py3-none-any.whl
  • Upload date:
  • Size: 13.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.0

File hashes

Hashes for ultralytics-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 4fcb3a9c4b1e5f0b3bc0973809fa71ba1506d636ee917ed5c9f51e6be0f7b9d1
MD5 64e7ddca09014bcbab93c3553ce859f5
BLAKE2b-256 01c538805c63a3b07db950f5088f9d22fb435866960137d0e581e08b23212db9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page