Comments (4)
👋 Hello @sondautilities, thank you for raising an issue about Ultralytics HUB 🚀! 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 🐛 Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.
If this is a ❓ 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!
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Hello!
Thank you for reaching out with your question. We're glad to assist you with your labeling needs within the Ultralytics environment. 😊
Currently, Ultralytics HUB does not have a built-in labeling tool. However, you can use several open-source labeling tools to annotate your images before loading them into the Ultralytics environment. Some popular options include:
- LabelImg: A graphical image annotation tool that supports bounding box annotations.
- LabelMe: An online annotation tool that supports polygon annotations.
- CVAT (Computer Vision Annotation Tool): A versatile tool that supports both bounding boxes and polygons.
Once you have labeled your dataset using one of these tools, you can easily load the annotated data into the Ultralytics environment for training and evaluation.
For bounding box annotations, LabelImg is a straightforward and widely-used option. For more complex annotations like polygons, CVAT or LabelMe might be more suitable.
If you encounter any issues or have further questions, feel free to ask. We're here to help!
from hub.
from hub.
Hello Fernando,
Thank you for your kind words! We're delighted to hear that the information provided was clear and helpful to you. 😊
If you have any further questions or need additional assistance as you proceed with your labeling and training tasks, please don't hesitate to reach out. The Ultralytics community and team are always here to support you.
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