Open henningheyen opened 3 weeks ago
π Hello @henningheyen, thank you for raising an issue about Ultralytics HUB π! Please visit our HUB Docs to learn more:
If this is a π Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.
If this is a β Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.
We try to respond to all issues as promptly as possible. Thank you for your patience!
Hello! π
Thank you for reaching out with your issue, and nice job on training your custom YOLOv8 model! It sounds like you're having trouble getting the app to utilize your model correctly. Here are a couple of suggestions that might help:
If these steps don't resolve the issue, please consider providing more details in a follow-up issue, like the model configuration or any specific error messages you might be getting. Donβt hesitate to check the Ultralytics HUB Docs at https://docs.ultralytics.com/hub for more detailed guidance on using custom models in the IOS app.
Thank you for your contribution to the YOLO community and your patience!
I'm having the same issue on my android device. Please sort this out asap.
Hello! π
Sorry to hear you're facing the same issue on Android. Please make sure your model is actively selected in the app settings. Additionally, ensure the app version supports the model format you're using. If the problem persists, kindly submit a new issue with details about your model and the Android device you're using.
Thanks for your patience!
Search before asking
HUB Component
No response
Bug
Hey,
I have trained a custom yolov8 model using Ultralytics hub. Now I wanted to test the model in the IOS app. The tap shows my model however it seems as the default COCO pretrained model is being used since the classes donβt match the custom model.
I have tried logging out and reinstalling the app. Any other ideas how to solve this problem?
thank you :)
Environment
Minimal Reproducible Example
No response
Additional
No response