RF-DETR Trainer

RF-DETR Trainer is a desktop application for training, testing, and experimenting with RF-DETR based object detection workflows on Windows. It is designed for users working with custom datasets, GIS imagery, remote-sensing data, aerial images, satellite imagery, and large raster-based computer vision projects.

The app provides a visual workflow for preparing object detection projects, configuring training settings, testing models, and working with geospatial AI tasks without relying only on command-line scripts or cloud notebooks. It is especially useful for GIS users, researchers, archaeologists, remote-sensing specialists, and developers who want to train and evaluate detection models locally.

RF-DETR Trainer focuses on practical object detection workflows for spatial imagery, including tiled datasets, custom classes, local model testing, and backbone experimentation. It can be used for archaeological remote sensing, environmental mapping, infrastructure detection, landscape analysis, aerial survey interpretation, and other GIS-related detection tasks.

The goal of RF-DETR Trainer is to make RF-DETR training and geospatial object detection more accessible through a dedicated Windows desktop interface.

Product features

Train RF-DETR based object detection models
Prepare and manage custom detection datasets
Work with GIS, satellite, and aerial imagery workflows
Test object detection models locally on Windows
Use custom object classes and project-based training setups
Experiment with model and backbone settings
Designed for remote sensing, archaeology, mapping, and geospatial AI
Local desktop workflow without requiring cloud notebooks
Suitable for research, prototyping, and custom computer vision projects

Short description

A Windows desktop tool for training and testing RF-DETR object detection models with a focus on GIS, satellite imagery, aerial imagery, and remote-sensing workflows.