Train a Model

Roboflow provides a platform for training computer vision models with two primary options: Roboflow Train, designed for production-ready models, and Roboflow Instant, which quickly trains models for testing purposes. Users can deploy these models using either the on-device inference server or the cloud-based Serverless Hosted API. The training process involves selecting a dataset version, choosing a model architecture based on the project type, setting the model size, and deciding whether to train from a checkpoint, which employs Transfer Learning to enhance performance and reduce training time. Object detection, classification, instance segmentation, keypoint detection, and multimodal models are supported, with specific architectures like RF-DETR, YOLO, and ViT available. Training duration depends on dataset size and image resolution, typically completed within 24 hours, and is priced according to the length of the training job, with credits available for students and researchers.