Subset training is a great way to speed up experimentation. However, using a smaller dataset might lead to less accurate models initially, as the model may not see all the variations in the data. It's best for quick iterations and tuning before training on the full dataset for optimal accuracy. For more details, check out our guide: docs.ultralytics.com/guides/model-training-tips/ 😊
I like subset training. A great idea. I am wondering, how this technique can effect accuracy?
Subset training is a great way to speed up experimentation. However, using a smaller dataset might lead to less accurate models initially, as the model may not see all the variations in the data. It's best for quick iterations and tuning before training on the full dataset for optimal accuracy. For more details, check out our guide: docs.ultralytics.com/guides/model-training-tips/ 😊