Closed Mamooshe closed 7 months ago
👋 Hello @Mamooshe, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
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Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
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@Mamooshe hello!
Augmentation methods like mosaic and copy-paste are primarily designed for object detection tasks. These techniques not only alter the location of objects within an image but also create new contextual environments for the objects, which can help improve the robustness of the model by providing a more diverse set of training examples. They are not typically used for classification tasks where the focus is on recognizing the entire image as a single class label without the need for localizing objects within the image.
If you have more questions or need further clarification, feel free to ask. Happy training! 😊🚀
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Question
Do Augmentation methods such as mosaic or copy-paste techniques only for classification or detection as they change object location?
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