Versatility: Train on custom datasets in addition to readily available ones like COCO, VOC, and ImageNet.
Efficiency: Make the most out of your hardware, whether you're on a single-GPU setup or scaling across multiple GPUs.Here are some compelling reasons to opt for YOLOv8's Train mode: Why Choose Ultralytics YOLO for Training? Watch: How to Train a YOLOv8 model on Your Custom Dataset in Google Colab. This guide aims to cover all the details you need to get started with training your own models using YOLOv8's robust set of features. Train mode in Ultralytics YOLOv8 is engineered for effective and efficient training of object detection models, fully utilizing modern hardware capabilities. Training a deep learning model involves feeding it data and adjusting its parameters so that it can make accurate predictions.