ultralytics 8.0.94 HUBDatasetStats() Segment and Pose support (#2450)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: JF Chen <k-2feng@hotmail.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: Laughing-q <1185102784@qq.com>
This commit is contained in:
parent
af49a85cf3
commit
e21428ca4e
51 changed files with 948 additions and 81 deletions
|
|
@ -36,6 +36,6 @@ We hope that the resources here will help you get the most out of HUB. Please br
|
|||
- [**Models: Training and Exporting**](./models.md). Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
|
||||
- [**Integrations: Options**](./integrations.md). Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
|
||||
- [**Ultralytics HUB App**](./app/index.md). Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
|
||||
- [**iOS**](./app/ios.md)
|
||||
- [**Android**](./app/android.md)
|
||||
* [**iOS**](./app/ios.md). Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
|
||||
* [**Android**](./app/android.md). Explore TFLite acceleration on mobile devices.
|
||||
- [**Inference API**](./inference_api.md). Understand how to use the Inference API for running your trained models in the cloud to generate predictions.
|
||||
Loading…
Add table
Add a link
Reference in a new issue