Comments (4)
๐ Hello @adroff, thank you for raising an issue about Ultralytics HUB ๐! Please visit our HUB Docs to learn more:
- Quickstart. Start training and deploying YOLO models with HUB in seconds.
- Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
- Projects: Creating and Managing. Group your models into projects for improved organization.
- Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
- Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
- Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
- Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.
If this is a ๐ Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.
If this is a โ 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!
from hub.
Hi there! ๐
It's great to hear about your interest in using locally trained custom models with our Android app. Currently, the app is designed to work seamlessly with models trained directly via our platform. Adding the functionality to upload and use your custom-trained models, such as yolov8x models from local training environments, is indeed a compelling suggestion.
Although we donโt have this feature available right now, your feedback is highly valuable. We're always looking to enhance our appโs capabilities based on user needs. I'll pass your request to our development team for consideration in future updates.
For now, I recommend keeping an eye on our updates and exploring the documentation at https://docs.ultralytics.com/hub for any upcoming features that might meet your requirements.
Thanks for your support and understanding! If you have any more questions or ideas, feel free to share. ๐
from hub.
from hub.
@adroff you're welcome! ๐ If there's anything more you'd like to discuss or any other feedback you have, don't hesitate to reach out. Happy to help where I can!
from hub.
Related Issues (20)
- Changing Class Weights In YOLOV7 HOT 4
- myhealth HOT 2
- I can't view the model I trained on different mobile devices. Everything doesn't work. Please improve. HOT 4
- crash when training HOT 1
- training ends up disconnected. The systeem says that the training ha snot ended. HOT 5
- About how to increase the number of epochs. HOT 2
- How to deploy trained model to images online? HOT 1
- DVCLive Folder not created in CI YOLOv10 HOT 3
- Using Ultralytics Explorer HUB for data augmentation EDA HOT 1
- pip install ultralytics on Raspberry Pi 4 HOT 4
- How to download my dataset (segment)? HOT 3
- Uploading trained algos HOT 1
- Can't finish training, can't load model after it finished tranining HOT 2
- Model training stuck in disconnected problem HOT 7
- Cannot retrieve my full storage back HOT 8
- Any dataset submitted fails HOT 2
- ไธไผ ๆๅไปฅๅ ๆฐๆฎ้ๅ ่ฝฝtimeout HOT 2
- Support datasets exported by fiftyone on windows platform without requiring modification of .yaml pathnames HOT 2
- model upload issue; stucked with 100% Optimizing weights HOT 8
- Hub training disconnected at 100% complete with 0/100 epochs remaining but prompts to resume training from epoch 98 HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from hub.