RF-DETR Trainer is a desktop application for training and using modern RF-DETR object detection models directly on your own PC. The app is designed for users who want to prepare custom image datasets, train detection models, and run object detection without relying on cloud-based platforms or complicated command-line workflows.

With RF-DETR Trainer, you can load your own training data, manage classes, start training runs, load trained checkpoints, and review detection results through a simple desktop interface. The application brings the typical machine learning workflow into one place: select a dataset, configure training parameters, train a model, load a checkpoint, and test the results.

RF-DETR is especially useful for modern object detection tasks where transformer-based detection models are required. The app can be used for research projects, image analysis, geospatial workflows, archaeology, technical inspection, and general AI-assisted object detection.

All data stays local on your own computer. Training images, models, and results are not automatically uploaded to the cloud. RF-DETR Trainer is built to make local AI workflows more accessible and to help users work with RF-DETR models without manually setting up a complex development environment.